際際滷shows by User: kolja111 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: kolja111 / Wed, 20 Jun 2018 07:21:02 GMT 際際滷Share feed for 際際滷shows by User: kolja111 Catastrophic instabilities in interacting networks and possible remedies /slideshow/catastrophic-instabilities-in-interacting-networks-and-possible-remedies/102696392 workshop-180620072102
Workshop Re-inventing Society in the Digital Age]]>
Workshop Re-inventing Society in the Digital Age]]> Wed, 20 Jun 2018 07:21:02 GMT /slideshow/catastrophic-instabilities-in-interacting-networks-and-possible-remedies/102696392 kolja111@slideshare.net(kolja111) Catastrophic instabilities in interacting networks and possible remedies kolja111 Workshop Re-inventing Society in the Digital Age <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/workshop-180620072102-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Workshop Re-inventing Society in the Digital Age
Catastrophic instabilities in interacting networks and possible remedies from Kolja Kleineberg
]]> 131 3 https://cdn.slidesharecdn.com/ss_thumbnails/workshop-180620072102-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards controlling evolutionary dynamics through network geometry: some very first steps /slideshow/towards-controlling-evolutionary-dynamics-through-network-geometry-some-very-first-steps/102298078 netsci18control-180613132507
netsci 18 presentation]]>
netsci 18 presentation]]> Wed, 13 Jun 2018 13:25:07 GMT /slideshow/towards-controlling-evolutionary-dynamics-through-network-geometry-some-very-first-steps/102298078 kolja111@slideshare.net(kolja111) Towards controlling evolutionary dynamics through network geometry: some very first steps kolja111 netsci 18 presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netsci18control-180613132507-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> netsci 18 presentation
Towards controlling evolutionary dynamics through network geometry: some very first steps from Kolja Kleineberg
]]> 2713 5 https://cdn.slidesharecdn.com/ss_thumbnails/netsci18control-180613132507-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks /kolja111/geometric-correlations-mitigate-the-extreme-vulnerability-of-multiplex-networks-against-targeted-attacks netsci18percolation-180613132456
Netsci 18 presentation]]>
Netsci 18 presentation]]> Wed, 13 Jun 2018 13:24:56 GMT /kolja111/geometric-correlations-mitigate-the-extreme-vulnerability-of-multiplex-networks-against-targeted-attacks kolja111@slideshare.net(kolja111) Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks kolja111 Netsci 18 presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netsci18percolation-180613132456-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Netsci 18 presentation
Geometric correlations mitigate the extreme vulnerability of multiplex networks against targeted attacks from Kolja Kleineberg
]]> 2472 2 https://cdn.slidesharecdn.com/ss_thumbnails/netsci18percolation-180613132456-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Interplay between social influence and competitive strategical games in multiplex networks /slideshow/interplay-between-social-influence-and-competitive-strategical-games-in-multiplex-networks/102298050 netsci18game-180613132433
Netsci 18 presentation]]>
Netsci 18 presentation]]> Wed, 13 Jun 2018 13:24:33 GMT /slideshow/interplay-between-social-influence-and-competitive-strategical-games-in-multiplex-networks/102298050 kolja111@slideshare.net(kolja111) Interplay between social influence and competitive strategical games in multiplex networks kolja111 Netsci 18 presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/netsci18game-180613132433-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Netsci 18 presentation
Interplay between social influence and competitive strategical games in multiplex networks from Kolja Kleineberg
]]> 2657 3 https://cdn.slidesharecdn.com/ss_thumbnails/netsci18game-180613132433-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The Hidden Geometry of Multiplex Networks @ Next Generation Network Analytics /slideshow/the-hidden-geometry-of-multiplex-networks-next-generation-network-analytics/85763795 london18-180105145645
際際滷s from my talk]]>
際際滷s from my talk]]> Fri, 05 Jan 2018 14:56:45 GMT /slideshow/the-hidden-geometry-of-multiplex-networks-next-generation-network-analytics/85763795 kolja111@slideshare.net(kolja111) The Hidden Geometry of Multiplex Networks @ Next Generation Network Analytics kolja111 際際滷s from my talk <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/london18-180105145645-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from my talk
The Hidden Geometry of Multiplex Networks @ Next Generation Network Analytics from Kolja Kleineberg
]]> 792 3 https://cdn.slidesharecdn.com/ss_thumbnails/london18-180105145645-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Geometric correlations in multiplexes and how they make them more robust /slideshow/geometric-correlations-in-multiplexes-and-how-they-make-them-more-robust/80197163 ccs17multiplex-170927012957
CCS presentation]]>
CCS presentation]]> Wed, 27 Sep 2017 01:29:57 GMT /slideshow/geometric-correlations-in-multiplexes-and-how-they-make-them-more-robust/80197163 kolja111@slideshare.net(kolja111) Geometric correlations in multiplexes and how they make them more robust kolja111 CCS presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ccs17multiplex-170927012957-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> CCS presentation
Geometric correlations in multiplexes and how they make them more robust from Kolja Kleineberg
]]> 659 7 https://cdn.slidesharecdn.com/ss_thumbnails/ccs17multiplex-170927012957-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Spatial patterns in evolutionary games on scale-free networks and multiplexes /slideshow/spatial-patterns-in-evolutionary-games-on-scalefree-networks-and-multiplexes-80190954/80190954 metricpatterns-170926203710
lanet presentation]]>
lanet presentation]]> Tue, 26 Sep 2017 20:37:10 GMT /slideshow/spatial-patterns-in-evolutionary-games-on-scalefree-networks-and-multiplexes-80190954/80190954 kolja111@slideshare.net(kolja111) Spatial patterns in evolutionary games on scale-free networks and multiplexes kolja111 lanet presentation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/metricpatterns-170926203710-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> lanet presentation
Spatial patterns in evolutionary games on scale-free networks and multiplexes from Kolja Kleineberg
]]> 497 3 https://cdn.slidesharecdn.com/ss_thumbnails/metricpatterns-170926203710-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 (Digital) networks and the science of complex systems /slideshow/digital-networks-and-the-science-of-complex-systems/78915544 workshop-170817074434
(Digital) networks and the science of complex systems]]>
(Digital) networks and the science of complex systems]]> Thu, 17 Aug 2017 07:44:33 GMT /slideshow/digital-networks-and-the-science-of-complex-systems/78915544 kolja111@slideshare.net(kolja111) (Digital) networks and the science of complex systems kolja111 (Digital) networks and the science of complex systems <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170817074434-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> (Digital) networks and the science of complex systems
(Digital) networks and the science of complex systems from Kolja Kleineberg
]]> 717 4 https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170817074434-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards a democratic, scalable, and sustainable digital future (a complex systems perspective) /slideshow/towards-a-democratic-scalable-and-sustainable-digital-future-a-complex-systems-perspective/75940422 workshop-170513075739
my talk at Zuricher Kamingespraeche.]]>
my talk at Zuricher Kamingespraeche.]]> Sat, 13 May 2017 07:57:39 GMT /slideshow/towards-a-democratic-scalable-and-sustainable-digital-future-a-complex-systems-perspective/75940422 kolja111@slideshare.net(kolja111) Towards a democratic, scalable, and sustainable digital future (a complex systems perspective) kolja111 my talk at Zuricher Kamingespraeche. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170513075739-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> my talk at Zuricher Kamingespraeche.
Towards a democratic, scalable, and sustainable digital future (a complex systems perspective) from Kolja Kleineberg
]]> 406 3 https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170513075739-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Re-inventing society in the digital age: Catastrophic instabilities in interacting networks and possible remedies /kolja111/reinventing-society-in-the-digital-age-catastrophic-instabilities-in-interacting-networks-and-possible-remedies workshop-170509064810
Complexity Science Hub Vienna more information: @koljakleineberg https://koljakleineberg.wordpress.com/]]>
Complexity Science Hub Vienna more information: @koljakleineberg https://koljakleineberg.wordpress.com/]]> Tue, 09 May 2017 06:48:10 GMT /kolja111/reinventing-society-in-the-digital-age-catastrophic-instabilities-in-interacting-networks-and-possible-remedies kolja111@slideshare.net(kolja111) Re-inventing society in the digital age: Catastrophic instabilities in interacting networks and possible remedies kolja111 Complexity Science Hub Vienna more information: @koljakleineberg https://koljakleineberg.wordpress.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170509064810-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Complexity Science Hub Vienna more information: @koljakleineberg https://koljakleineberg.wordpress.com/
Re-inventing society in the digital age: Catastrophic instabilities in interacting networks and possible remedies from Kolja Kleineberg
]]> 169 2 https://cdn.slidesharecdn.com/ss_thumbnails/workshop-170509064810-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Collective navigation of complex networks: Participatory greedy routing /slideshow/collective-navigation-of-complex-networks-participatory-greedy-routing/73496780 navgamenovid-170322171116
Many networks are used to transfer information or goods, in other words, they are navigated. The larger the network, the more difficult it is to navigate efficiently. Indeed, information routing in the Internet faces serious scalability problems due to its rapid growth, recently accelerated by the rise of the Internet of Things. Large networks like the Internet can be navigated efficiently if nodes, or agents, actively forward information based on hidden maps underlying these systems. However, in reality most agents will deny to forward messages, which has a cost, and navigation is impossible. Can we design appropriate incentives that lead to participation and global navigability? Here, we present an evolutionary game where agents share the value generated by successful delivery of information or goods. We show that global navigability can emerge, but its complete breakdown is possible as well. Furthermore, we show that the system tends to self-organize into local clusters of agents who participate in the navigation. This organizational principle can be exploited to favor the emergence of global navigability in the system.]]>
Many networks are used to transfer information or goods, in other words, they are navigated. The larger the network, the more difficult it is to navigate efficiently. Indeed, information routing in the Internet faces serious scalability problems due to its rapid growth, recently accelerated by the rise of the Internet of Things. Large networks like the Internet can be navigated efficiently if nodes, or agents, actively forward information based on hidden maps underlying these systems. However, in reality most agents will deny to forward messages, which has a cost, and navigation is impossible. Can we design appropriate incentives that lead to participation and global navigability? Here, we present an evolutionary game where agents share the value generated by successful delivery of information or goods. We show that global navigability can emerge, but its complete breakdown is possible as well. Furthermore, we show that the system tends to self-organize into local clusters of agents who participate in the navigation. This organizational principle can be exploited to favor the emergence of global navigability in the system.]]> Wed, 22 Mar 2017 17:11:16 GMT /slideshow/collective-navigation-of-complex-networks-participatory-greedy-routing/73496780 kolja111@slideshare.net(kolja111) Collective navigation of complex networks: Participatory greedy routing kolja111 Many networks are used to transfer information or goods, in other words, they are navigated. The larger the network, the more difficult it is to navigate efficiently. Indeed, information routing in the Internet faces serious scalability problems due to its rapid growth, recently accelerated by the rise of the Internet of Things. Large networks like the Internet can be navigated efficiently if nodes, or agents, actively forward information based on hidden maps underlying these systems. However, in reality most agents will deny to forward messages, which has a cost, and navigation is impossible. Can we design appropriate incentives that lead to participation and global navigability? Here, we present an evolutionary game where agents share the value generated by successful delivery of information or goods. We show that global navigability can emerge, but its complete breakdown is possible as well. Furthermore, we show that the system tends to self-organize into local clusters of agents who participate in the navigation. This organizational principle can be exploited to favor the emergence of global navigability in the system. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/navgamenovid-170322171116-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Many networks are used to transfer information or goods, in other words, they are navigated. The larger the network, the more difficult it is to navigate efficiently. Indeed, information routing in the Internet faces serious scalability problems due to its rapid growth, recently accelerated by the rise of the Internet of Things. Large networks like the Internet can be navigated efficiently if nodes, or agents, actively forward information based on hidden maps underlying these systems. However, in reality most agents will deny to forward messages, which has a cost, and navigation is impossible. Can we design appropriate incentives that lead to participation and global navigability? Here, we present an evolutionary game where agents share the value generated by successful delivery of information or goods. We show that global navigability can emerge, but its complete breakdown is possible as well. Furthermore, we show that the system tends to self-organize into local clusters of agents who participate in the navigation. This organizational principle can be exploited to favor the emergence of global navigability in the system.
Collective navigation of complex networks: Participatory greedy routing from Kolja Kleineberg
]]> 1232 3 https://cdn.slidesharecdn.com/ss_thumbnails/navgamenovid-170322171116-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Structure and dynamics of multiplex networks: beyond degree correlations /slideshow/structure-and-dynamics-of-multiplex-networks-beyond-degree-correlations/73496623 multiplexnovid-170322170919
The organization of constituent network layers to multiplex networks has recently attracted a lot of attention. Here, we show empirical evidence for the existence of relations between the layers of real multiplex networks that go beyond degree correlations. These relations consist of correlations in hidden metric spaces that underlie the observed topology. We discuss the impact and applications of these relations for trans-layer link prediction, community detection, navigation, game theory, and especially for the robustness of multiplex networks against random failures and targeted attacks. We show that these relations lead to fundamentally new behaviors, which emphasizes the importance to consider organizational principles of multiplex networks beyond degree correlations in future research.]]>
The organization of constituent network layers to multiplex networks has recently attracted a lot of attention. Here, we show empirical evidence for the existence of relations between the layers of real multiplex networks that go beyond degree correlations. These relations consist of correlations in hidden metric spaces that underlie the observed topology. We discuss the impact and applications of these relations for trans-layer link prediction, community detection, navigation, game theory, and especially for the robustness of multiplex networks against random failures and targeted attacks. We show that these relations lead to fundamentally new behaviors, which emphasizes the importance to consider organizational principles of multiplex networks beyond degree correlations in future research.]]> Wed, 22 Mar 2017 17:09:19 GMT /slideshow/structure-and-dynamics-of-multiplex-networks-beyond-degree-correlations/73496623 kolja111@slideshare.net(kolja111) Structure and dynamics of multiplex networks: beyond degree correlations kolja111 The organization of constituent network layers to multiplex networks has recently attracted a lot of attention. Here, we show empirical evidence for the existence of relations between the layers of real multiplex networks that go beyond degree correlations. These relations consist of correlations in hidden metric spaces that underlie the observed topology. We discuss the impact and applications of these relations for trans-layer link prediction, community detection, navigation, game theory, and especially for the robustness of multiplex networks against random failures and targeted attacks. We show that these relations lead to fundamentally new behaviors, which emphasizes the importance to consider organizational principles of multiplex networks beyond degree correlations in future research. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/multiplexnovid-170322170919-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The organization of constituent network layers to multiplex networks has recently attracted a lot of attention. Here, we show empirical evidence for the existence of relations between the layers of real multiplex networks that go beyond degree correlations. These relations consist of correlations in hidden metric spaces that underlie the observed topology. We discuss the impact and applications of these relations for trans-layer link prediction, community detection, navigation, game theory, and especially for the robustness of multiplex networks against random failures and targeted attacks. We show that these relations lead to fundamentally new behaviors, which emphasizes the importance to consider organizational principles of multiplex networks beyond degree correlations in future research.
Structure and dynamics of multiplex networks: beyond degree correlations from Kolja Kleineberg
]]> 932 4 https://cdn.slidesharecdn.com/ss_thumbnails/multiplexnovid-170322170919-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards a democratic, scalable, and sustainable digital future /slideshow/towards-a-democratic-scalable-and-sustainable-digital-future/64162761 bigpicture-160719123958
The digital world is changing at an unprecedented pace. Recently, the power of central entities acting like monopolies of information has become extremely large and provides these entities with the possibility to undermine the freedom of society. Hence, we need a democratic vision of the digital future in which individuals are in control of their information instead of a few monopolies. Furthermore, the Internet of Things will lead to an explosion in the number of devices, emphasizing the need to design a scalable digital future. Last but not least, the rapid evolution of the digital environment demands for a robust vision of the digital future to ensure its sustainability. Here, I provide a systems perspective on essential ingredients for such a desirable digital future.]]>
The digital world is changing at an unprecedented pace. Recently, the power of central entities acting like monopolies of information has become extremely large and provides these entities with the possibility to undermine the freedom of society. Hence, we need a democratic vision of the digital future in which individuals are in control of their information instead of a few monopolies. Furthermore, the Internet of Things will lead to an explosion in the number of devices, emphasizing the need to design a scalable digital future. Last but not least, the rapid evolution of the digital environment demands for a robust vision of the digital future to ensure its sustainability. Here, I provide a systems perspective on essential ingredients for such a desirable digital future.]]> Tue, 19 Jul 2016 12:39:58 GMT /slideshow/towards-a-democratic-scalable-and-sustainable-digital-future/64162761 kolja111@slideshare.net(kolja111) Towards a democratic, scalable, and sustainable digital future kolja111 The digital world is changing at an unprecedented pace. Recently, the power of central entities acting like monopolies of information has become extremely large and provides these entities with the possibility to undermine the freedom of society. Hence, we need a democratic vision of the digital future in which individuals are in control of their information instead of a few monopolies. Furthermore, the Internet of Things will lead to an explosion in the number of devices, emphasizing the need to design a scalable digital future. Last but not least, the rapid evolution of the digital environment demands for a robust vision of the digital future to ensure its sustainability. Here, I provide a systems perspective on essential ingredients for such a desirable digital future. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigpicture-160719123958-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The digital world is changing at an unprecedented pace. Recently, the power of central entities acting like monopolies of information has become extremely large and provides these entities with the possibility to undermine the freedom of society. Hence, we need a democratic vision of the digital future in which individuals are in control of their information instead of a few monopolies. Furthermore, the Internet of Things will lead to an explosion in the number of devices, emphasizing the need to design a scalable digital future. Last but not least, the rapid evolution of the digital environment demands for a robust vision of the digital future to ensure its sustainability. Here, I provide a systems perspective on essential ingredients for such a desirable digital future.
Towards a democratic, scalable, and sustainable digital future from Kolja Kleineberg
]]> 1491 4 https://cdn.slidesharecdn.com/ss_thumbnails/bigpicture-160719123958-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Hidden geometric correlations in real multiplex networks /slideshow/hidden-geometric-correlations-in-real-multiplex-networks/64004385 dpgmultiplex-160713210306
Read the paper at http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3812.html Real networks often form interacting parts of larger and more complex systems. Examples can be found in different domains, ranging from the Internet to structural and functional brain networks. Here, we show that these multiplex systems are not random combinations of single network layers. Instead, they are organized in specific ways dictated by hidden geometric correlations between the layers. We find that these correlations are significant in different real multiplexes, and form a key framework for answering many important questions. Specifically, we show that these geometric correlations facilitate the definition and detection of multidimensional communities, which are sets of nodes that are simultaneously similar in multiple layers. They also enable accurate trans-layer link prediction, meaning that connections in one layer can be predicted by observing the hidden geometric space of another layer. And they allow efficient targeted navigation in the multilayer system using only local knowledge, outperforming navigation in the single layers only if the geometric correlations are sufficiently strong.]]>
Read the paper at http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3812.html Real networks often form interacting parts of larger and more complex systems. Examples can be found in different domains, ranging from the Internet to structural and functional brain networks. Here, we show that these multiplex systems are not random combinations of single network layers. Instead, they are organized in specific ways dictated by hidden geometric correlations between the layers. We find that these correlations are significant in different real multiplexes, and form a key framework for answering many important questions. Specifically, we show that these geometric correlations facilitate the definition and detection of multidimensional communities, which are sets of nodes that are simultaneously similar in multiple layers. They also enable accurate trans-layer link prediction, meaning that connections in one layer can be predicted by observing the hidden geometric space of another layer. And they allow efficient targeted navigation in the multilayer system using only local knowledge, outperforming navigation in the single layers only if the geometric correlations are sufficiently strong.]]> Wed, 13 Jul 2016 21:03:06 GMT /slideshow/hidden-geometric-correlations-in-real-multiplex-networks/64004385 kolja111@slideshare.net(kolja111) Hidden geometric correlations in real multiplex networks kolja111 Read the paper at http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3812.html Real networks often form interacting parts of larger and more complex systems. Examples can be found in different domains, ranging from the Internet to structural and functional brain networks. Here, we show that these multiplex systems are not random combinations of single network layers. Instead, they are organized in specific ways dictated by hidden geometric correlations between the layers. We find that these correlations are significant in different real multiplexes, and form a key framework for answering many important questions. Specifically, we show that these geometric correlations facilitate the definition and detection of multidimensional communities, which are sets of nodes that are simultaneously similar in multiple layers. They also enable accurate trans-layer link prediction, meaning that connections in one layer can be predicted by observing the hidden geometric space of another layer. And they allow efficient targeted navigation in the multilayer system using only local knowledge, outperforming navigation in the single layers only if the geometric correlations are sufficiently strong. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dpgmultiplex-160713210306-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Read the paper at http://www.nature.com/nphys/journal/vaop/ncurrent/full/nphys3812.html Real networks often form interacting parts of larger and more complex systems. Examples can be found in different domains, ranging from the Internet to structural and functional brain networks. Here, we show that these multiplex systems are not random combinations of single network layers. Instead, they are organized in specific ways dictated by hidden geometric correlations between the layers. We find that these correlations are significant in different real multiplexes, and form a key framework for answering many important questions. Specifically, we show that these geometric correlations facilitate the definition and detection of multidimensional communities, which are sets of nodes that are simultaneously similar in multiple layers. They also enable accurate trans-layer link prediction, meaning that connections in one layer can be predicted by observing the hidden geometric space of another layer. And they allow efficient targeted navigation in the multilayer system using only local knowledge, outperforming navigation in the single layers only if the geometric correlations are sufficiently strong.
Hidden geometric correlations in real multiplex networks from Kolja Kleineberg
]]> 1569 4 https://cdn.slidesharecdn.com/ss_thumbnails/dpgmultiplex-160713210306-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Is bigger always better? How local online social networks can outperform global ones /kolja111/is-bigger-always-better-how-local-online-social-networks-can-outperform-global-ones bluepres-151015132606-lva1-app6892
The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network fitnesses induced by competition between an international network, such as Facebook, and local services.To this end, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. We show how inter-country social ties induce increased fitness of the international network. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities for preserving digital diversity.]]>
The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network fitnesses induced by competition between an international network, such as Facebook, and local services.To this end, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. We show how inter-country social ties induce increased fitness of the international network. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities for preserving digital diversity.]]> Thu, 15 Oct 2015 13:26:06 GMT /kolja111/is-bigger-always-better-how-local-online-social-networks-can-outperform-global-ones kolja111@slideshare.net(kolja111) Is bigger always better? How local online social networks can outperform global ones kolja111 The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network fitnesses induced by competition between an international network, such as Facebook, and local services.To this end, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. We show how inter-country social ties induce increased fitness of the international network. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities for preserving digital diversity. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-151015132606-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To help understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network fitnesses induced by competition between an international network, such as Facebook, and local services.To this end, we construct a 1:1000 scale model of the digital world, consisting of the 80 countries with the most Internet users. We show how inter-country social ties induce increased fitness of the international network. Under certain conditions, this leads to the extinction of local networks; whereas under different conditions, local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities for preserving digital diversity.
Is bigger always better? How local online social networks can outperform global ones from Kolja Kleineberg
]]> 2111 6 https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-151015132606-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Ecology 2.0: Coexistence and domination among interacting networks /kolja111/ecology-20-coexistence-and-domination-among-interacting-networks bluepres-150603181543-lva1-app6892
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]>
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]> Wed, 03 Jun 2015 18:15:43 GMT /kolja111/ecology-20-coexistence-and-domination-among-interacting-networks kolja111@slideshare.net(kolja111) Ecology 2.0: Coexistence and domination among interacting networks kolja111 The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150603181543-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users&#39; attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.
Ecology 2.0: Coexistence and domination among interacting networks from Kolja Kleineberg
]]> 2845 3 https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150603181543-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A 1:1000 scale model of the digital world /slideshow/a-11000-scale-model-of-the-digital-world/48891748 bluepres-150602134459-lva1-app6891
The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network intrinsic fitnesses induced by the competition between an international network, like Facebook, and local services. To this end, we construct a 1:1000 scale model of the digital world enclosing the 80 countries with most Internet users. We show how inter-country social ties induce an increased intrinsic fitness of the international network. Under certain conditions this leads to the extinction of local networks whereas under different conditions local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities to preserve digital diversity.]]>
The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network intrinsic fitnesses induced by the competition between an international network, like Facebook, and local services. To this end, we construct a 1:1000 scale model of the digital world enclosing the 80 countries with most Internet users. We show how inter-country social ties induce an increased intrinsic fitness of the international network. Under certain conditions this leads to the extinction of local networks whereas under different conditions local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities to preserve digital diversity.]]> Tue, 02 Jun 2015 13:44:59 GMT /slideshow/a-11000-scale-model-of-the-digital-world/48891748 kolja111@slideshare.net(kolja111) A 1:1000 scale model of the digital world kolja111 The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network intrinsic fitnesses induced by the competition between an international network, like Facebook, and local services. To this end, we construct a 1:1000 scale model of the digital world enclosing the 80 countries with most Internet users. We show how inter-country social ties induce an increased intrinsic fitness of the international network. Under certain conditions this leads to the extinction of local networks whereas under different conditions local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities to preserve digital diversity. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150602134459-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The overwhelming success of online social networks, the key actors in the cosmos of the Web 2.0, has reshaped human interactions on a worldwide scale. To understand the fundamental mechanisms which determine the fate of online social networks at the system level, we describe the digital world as a complex ecosystem of interacting networks. In this paper, we discuss the impact of heterogeneity in network intrinsic fitnesses induced by the competition between an international network, like Facebook, and local services. To this end, we construct a 1:1000 scale model of the digital world enclosing the 80 countries with most Internet users. We show how inter-country social ties induce an increased intrinsic fitness of the international network. Under certain conditions this leads to the extinction of local networks whereas under different conditions local networks can persist and even dominate the international network completely. These findings provide new insights into the possibilities to preserve digital diversity.
A 1:1000 scale model of the digital world from Kolja Kleineberg
]]> 1137 2 https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150602134459-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 From the Evolution of Online Social Networks to Digital Ecology in a Nutshell /slideshow/from-the-evolution-of-online-social-networks-to-digital-ecology-in-a-nutshell/48597545 digitalecologyinanutshell-150526081627-lva1-app6891
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]>
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]> Tue, 26 May 2015 08:16:27 GMT /slideshow/from-the-evolution-of-online-social-networks-to-digital-ecology-in-a-nutshell/48597545 kolja111@slideshare.net(kolja111) From the Evolution of Online Social Networks to Digital Ecology in a Nutshell kolja111 The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/digitalecologyinanutshell-150526081627-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users&#39; attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.
From the Evolution of Online Social Networks to Digital Ecology in a Nutshell from Kolja Kleineberg
]]> 1249 10 https://cdn.slidesharecdn.com/ss_thumbnails/digitalecologyinanutshell-150526081627-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Evolution and Ecology of the Digital World /slideshow/evolution-and-ecology-of-the-digital-world/45881992 bluepres-150316054838-conversion-gate01
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]>
The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.]]> Mon, 16 Mar 2015 05:48:38 GMT /slideshow/evolution-and-ecology-of-the-digital-world/45881992 kolja111@slideshare.net(kolja111) Evolution and Ecology of the Digital World kolja111 The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users' attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150316054838-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The overwhelming success of the web 2.0, with online social networks as key actors, has induced a paradigm shift in the nature of human interactions. The user-driven character of these services for the first time has allowed researchers to quantify large-scale social patterns. However, the mechanisms that determine the fate of networks at a system level are still poorly understood. For instance, the simultaneous existence of numerous digital services naturally raises the question under which conditions these services can coexist. In analogy to population dynamics, the digital world is forming a complex ecosystem of interacting networks whose fitnesses depend on their ability to attract and maintain users&#39; attention, which constitutes a limited resource. In this paper, we introduce an ecological theory of the digital world which exhibits a stable coexistence of several networks as well as the domination of a single one, in contrast to the principle of competitive exclusion. Interestingly, our model also predicts that the most probable outcome is the coexistence of a moderate number of services, in agreement with empirical observations.
Evolution and Ecology of the Digital World from Kolja Kleineberg
]]> 988 4 https://cdn.slidesharecdn.com/ss_thumbnails/bluepres-150316054838-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-kolja111-48x48.jpg?cb=1587807940 https://cdn.slidesharecdn.com/ss_thumbnails/workshop-180620072102-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/catastrophic-instabilities-in-interacting-networks-and-possible-remedies/102696392 Catastrophic instabili... https://cdn.slidesharecdn.com/ss_thumbnails/netsci18control-180613132507-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/towards-controlling-evolutionary-dynamics-through-network-geometry-some-very-first-steps/102298078 Towards controlling ev... https://cdn.slidesharecdn.com/ss_thumbnails/netsci18percolation-180613132456-thumbnail.jpg?width=320&height=320&fit=bounds kolja111/geometric-correlations-mitigate-the-extreme-vulnerability-of-multiplex-networks-against-targeted-attacks Geometric correlations...