際際滷shows by User: vipyoung / http://www.slideshare.net/images/logo.gif 際際滷shows by User: vipyoung / Thu, 06 Sep 2018 07:11:48 GMT 際際滷Share feed for 際際滷shows by User: vipyoung Kharita: Robust Road Map Inference Through Network Alignment of Trajectories /slideshow/kharita-robust-road-map-inference-through-network-alignment-of-trajectories/113162260 sdmkharitaslides-180906071148
In this work we address the challenge of inferring the road network of a city from crowd-sourced GPS traces. While the problem has been addressed before, our solution has the following unique characteristics: (i) we formulate the road network inference problem as a network alignment optimization problem where both the nodes and edges of the network have to be inferred, (ii) we propose both an offline (\kha) and an online (\khastar) algorithm which are intuitive and capture the key aspects of the optimization formulation but are scalable and accurate. The \khastar in particular is, to the best of our knowledge, the first known online algorithm for map inference, (iii) we test our approach on two real data sets and both our code and data sets have been made available for research reproducibility.]]>

In this work we address the challenge of inferring the road network of a city from crowd-sourced GPS traces. While the problem has been addressed before, our solution has the following unique characteristics: (i) we formulate the road network inference problem as a network alignment optimization problem where both the nodes and edges of the network have to be inferred, (ii) we propose both an offline (\kha) and an online (\khastar) algorithm which are intuitive and capture the key aspects of the optimization formulation but are scalable and accurate. The \khastar in particular is, to the best of our knowledge, the first known online algorithm for map inference, (iii) we test our approach on two real data sets and both our code and data sets have been made available for research reproducibility.]]>
Thu, 06 Sep 2018 07:11:48 GMT /slideshow/kharita-robust-road-map-inference-through-network-alignment-of-trajectories/113162260 vipyoung@slideshare.net(vipyoung) Kharita: Robust Road Map Inference Through Network Alignment of Trajectories vipyoung In this work we address the challenge of inferring the road network of a city from crowd-sourced GPS traces. While the problem has been addressed before, our solution has the following unique characteristics: (i) we formulate the road network inference problem as a network alignment optimization problem where both the nodes and edges of the network have to be inferred, (ii) we propose both an offline (\kha) and an online (\khastar) algorithm which are intuitive and capture the key aspects of the optimization formulation but are scalable and accurate. The \khastar in particular is, to the best of our knowledge, the first known online algorithm for map inference, (iii) we test our approach on two real data sets and both our code and data sets have been made available for research reproducibility. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sdmkharitaslides-180906071148-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this work we address the challenge of inferring the road network of a city from crowd-sourced GPS traces. While the problem has been addressed before, our solution has the following unique characteristics: (i) we formulate the road network inference problem as a network alignment optimization problem where both the nodes and edges of the network have to be inferred, (ii) we propose both an offline (\kha) and an online (\khastar) algorithm which are intuitive and capture the key aspects of the optimization formulation but are scalable and accurate. The \khastar in particular is, to the best of our knowledge, the first known online algorithm for map inference, (iii) we test our approach on two real data sets and both our code and data sets have been made available for research reproducibility.
Kharita: Robust Road Map Inference Through Network Alignment of Trajectories from vipyoung
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Delhi OddEven Experiment /slideshow/delhi-oddeven-experiment/81406977 oddevendelhistory3rdversion-171031061001
In an effort to curb air pollution and cope with congestion, the city of Delhi (India), known to be one of the most populated, polluted and congested cities in the world, has implemented the first phase of #OddEven experiment between January 1st and 15th 2016. During the experiment, vehicles were allowed to move on alternate days based on whether their plate numbers end with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the national government of India, represented by N. Modi (leader of BJP) strove to demonstrate the inefficiency of such initiative. This particular configuration has led to a strong polarization of public opinion towards #OddEven initiative which provided the scientific community with a unique opportunity to study the impact of political leaning on humans' perception in a large-scale real-world experiment. We collect data about pollution (US embassy station) and traffic congestion (Google Traffic API) to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about #OddEven and study the underlying opinion and sentiment based on different dimensions: time, location, topics. Our results revealed a strong influence of political affiliations on the way people perceived the success of the experiment. For instance, AAP supporters were significantly more enthusiastic about #OddEven compared to BJP supporters. However, when we limit the analysis to only people who experienced #OddEven (i.e., living inside Delhi), the differences in opinion fade away. To cite this work: Tahar Zanouda, Sofiane Abbar, Laure Berti-Equille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava. "On the Role of Political Affiliation in Human Perception: The Case of Delhi OddEven Experiment" In proceedings of the 9th International Conference on Social Informatics (SocInfo 2017). Oxford, UK. ]]>

In an effort to curb air pollution and cope with congestion, the city of Delhi (India), known to be one of the most populated, polluted and congested cities in the world, has implemented the first phase of #OddEven experiment between January 1st and 15th 2016. During the experiment, vehicles were allowed to move on alternate days based on whether their plate numbers end with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the national government of India, represented by N. Modi (leader of BJP) strove to demonstrate the inefficiency of such initiative. This particular configuration has led to a strong polarization of public opinion towards #OddEven initiative which provided the scientific community with a unique opportunity to study the impact of political leaning on humans' perception in a large-scale real-world experiment. We collect data about pollution (US embassy station) and traffic congestion (Google Traffic API) to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about #OddEven and study the underlying opinion and sentiment based on different dimensions: time, location, topics. Our results revealed a strong influence of political affiliations on the way people perceived the success of the experiment. For instance, AAP supporters were significantly more enthusiastic about #OddEven compared to BJP supporters. However, when we limit the analysis to only people who experienced #OddEven (i.e., living inside Delhi), the differences in opinion fade away. To cite this work: Tahar Zanouda, Sofiane Abbar, Laure Berti-Equille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava. "On the Role of Political Affiliation in Human Perception: The Case of Delhi OddEven Experiment" In proceedings of the 9th International Conference on Social Informatics (SocInfo 2017). Oxford, UK. ]]>
Tue, 31 Oct 2017 06:10:01 GMT /slideshow/delhi-oddeven-experiment/81406977 vipyoung@slideshare.net(vipyoung) Delhi OddEven Experiment vipyoung In an effort to curb air pollution and cope with congestion, the city of Delhi (India), known to be one of the most populated, polluted and congested cities in the world, has implemented the first phase of #OddEven experiment between January 1st and 15th 2016. During the experiment, vehicles were allowed to move on alternate days based on whether their plate numbers end with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the national government of India, represented by N. Modi (leader of BJP) strove to demonstrate the inefficiency of such initiative. This particular configuration has led to a strong polarization of public opinion towards #OddEven initiative which provided the scientific community with a unique opportunity to study the impact of political leaning on humans' perception in a large-scale real-world experiment. We collect data about pollution (US embassy station) and traffic congestion (Google Traffic API) to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about #OddEven and study the underlying opinion and sentiment based on different dimensions: time, location, topics. Our results revealed a strong influence of political affiliations on the way people perceived the success of the experiment. For instance, AAP supporters were significantly more enthusiastic about #OddEven compared to BJP supporters. However, when we limit the analysis to only people who experienced #OddEven (i.e., living inside Delhi), the differences in opinion fade away. To cite this work: Tahar Zanouda, Sofiane Abbar, Laure Berti-Equille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava. "On the Role of Political Affiliation in Human Perception: The Case of Delhi OddEven Experiment" In proceedings of the 9th International Conference on Social Informatics (SocInfo 2017). Oxford, UK. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oddevendelhistory3rdversion-171031061001-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In an effort to curb air pollution and cope with congestion, the city of Delhi (India), known to be one of the most populated, polluted and congested cities in the world, has implemented the first phase of #OddEven experiment between January 1st and 15th 2016. During the experiment, vehicles were allowed to move on alternate days based on whether their plate numbers end with odd or even digits. While the local government of Delhi represented by A. Kejriwal (leader of AAP party) advocated for the benefits of the experiment, the national government of India, represented by N. Modi (leader of BJP) strove to demonstrate the inefficiency of such initiative. This particular configuration has led to a strong polarization of public opinion towards #OddEven initiative which provided the scientific community with a unique opportunity to study the impact of political leaning on humans&#39; perception in a large-scale real-world experiment. We collect data about pollution (US embassy station) and traffic congestion (Google Traffic API) to measure the real effectiveness of the experiment. We use Twitter to capture the public discourse about #OddEven and study the underlying opinion and sentiment based on different dimensions: time, location, topics. Our results revealed a strong influence of political affiliations on the way people perceived the success of the experiment. For instance, AAP supporters were significantly more enthusiastic about #OddEven compared to BJP supporters. However, when we limit the analysis to only people who experienced #OddEven (i.e., living inside Delhi), the differences in opinion fade away. To cite this work: Tahar Zanouda, Sofiane Abbar, Laure Berti-Equille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava. &quot;On the Role of Political Affiliation in Human Perception: The Case of Delhi OddEven Experiment&quot; In proceedings of the 9th International Conference on Social Informatics (SocInfo 2017). Oxford, UK.
Delhi OddEven Experiment from vipyoung
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Privacy and Twitter in Qatar: Traditional Values in the Digital World /vipyoung/privacy-and-twitter-in-qatar-traditional-values-in-the-digital-world privacyinqatar-161206121028
We explore the meaning of privacy from the perspective of Qatari nationals as it manifests in digital environments. Although privacy is an essential and widely respected value in many cultures, the way in which it is understood and enacted depends on context. It is especially vital to understand user behaviors regarding privacy in the digital sphere, where individuals increasingly publish personal information. Our mixed-methods analysis of 18K Twitter posts that mention privacy focuses on the face to face and digital contexts in which privacy is mentioned, and how those contexts lead to varied ideologies regarding privacy. We find that in the Arab Gulf, the need for privacy is often supported by Quranic text, advice on how to protect privacy is frequently discussed, and the use of paternalistic language by men when discussing women related privacy is common. Above all, privacy is framed as a communal attribute, including not only the individual, but the behavior of those around them; it even extends beyond the individual lifespan. We contribute an analysis and description of these previously unexplored interpretations of privacy, which play a role in how users navigate social media. ]]>

We explore the meaning of privacy from the perspective of Qatari nationals as it manifests in digital environments. Although privacy is an essential and widely respected value in many cultures, the way in which it is understood and enacted depends on context. It is especially vital to understand user behaviors regarding privacy in the digital sphere, where individuals increasingly publish personal information. Our mixed-methods analysis of 18K Twitter posts that mention privacy focuses on the face to face and digital contexts in which privacy is mentioned, and how those contexts lead to varied ideologies regarding privacy. We find that in the Arab Gulf, the need for privacy is often supported by Quranic text, advice on how to protect privacy is frequently discussed, and the use of paternalistic language by men when discussing women related privacy is common. Above all, privacy is framed as a communal attribute, including not only the individual, but the behavior of those around them; it even extends beyond the individual lifespan. We contribute an analysis and description of these previously unexplored interpretations of privacy, which play a role in how users navigate social media. ]]>
Tue, 06 Dec 2016 12:10:27 GMT /vipyoung/privacy-and-twitter-in-qatar-traditional-values-in-the-digital-world vipyoung@slideshare.net(vipyoung) Privacy and Twitter in Qatar: Traditional Values in the Digital World vipyoung We explore the meaning of privacy from the perspective of Qatari nationals as it manifests in digital environments. Although privacy is an essential and widely respected value in many cultures, the way in which it is understood and enacted depends on context. It is especially vital to understand user behaviors regarding privacy in the digital sphere, where individuals increasingly publish personal information. Our mixed-methods analysis of 18K Twitter posts that mention privacy focuses on the face to face and digital contexts in which privacy is mentioned, and how those contexts lead to varied ideologies regarding privacy. We find that in the Arab Gulf, the need for privacy is often supported by Quranic text, advice on how to protect privacy is frequently discussed, and the use of paternalistic language by men when discussing women related privacy is common. Above all, privacy is framed as a communal attribute, including not only the individual, but the behavior of those around them; it even extends beyond the individual lifespan. We contribute an analysis and description of these previously unexplored interpretations of privacy, which play a role in how users navigate social media. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/privacyinqatar-161206121028-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We explore the meaning of privacy from the perspective of Qatari nationals as it manifests in digital environments. Although privacy is an essential and widely respected value in many cultures, the way in which it is understood and enacted depends on context. It is especially vital to understand user behaviors regarding privacy in the digital sphere, where individuals increasingly publish personal information. Our mixed-methods analysis of 18K Twitter posts that mention privacy focuses on the face to face and digital contexts in which privacy is mentioned, and how those contexts lead to varied ideologies regarding privacy. We find that in the Arab Gulf, the need for privacy is often supported by Quranic text, advice on how to protect privacy is frequently discussed, and the use of paternalistic language by men when discussing women related privacy is common. Above all, privacy is framed as a communal attribute, including not only the individual, but the behavior of those around them; it even extends beyond the individual lifespan. We contribute an analysis and description of these previously unexplored interpretations of privacy, which play a role in how users navigate social media.
Privacy and Twitter in Qatar: Traditional Values in the Digital World from vipyoung
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Robustness and Resilience of Cities Around the World /slideshow/robustness-and-resilience-of-cities-around-the-world/64984641 urbcomp16resilience-160814174822
The concept of city or urban resilience has emerged as one of the key challenges for the next decades. As a consequence, institutions like the United Nations or Rockefeller Foundation have embraced initiatives that increase or improve it. These efforts translate into funded programs both for action on the ground and to develop quantification of resilience, under the for of an index. Ironically, on the academic side there is no clear consensus regarding how resilience should be quantified, or what it exactly refers to in the urban context. Here we attempt to link both extremes providing an example of how to exploit large, publicly available, worldwide urban datasets, to produce objective insight into one of the possible dimensions of urban resilience. We do so via well-established methods in complexity science, such as percolation theory which has a long tradition at providing valuable information on the vulnerability in complex systems. Our findings uncover large differences among studied cities, both regarding their infrastructural fragility and the imbalances in the distribution of critical services. Paper available at: https://arxiv.org/abs/1608.01709]]>

The concept of city or urban resilience has emerged as one of the key challenges for the next decades. As a consequence, institutions like the United Nations or Rockefeller Foundation have embraced initiatives that increase or improve it. These efforts translate into funded programs both for action on the ground and to develop quantification of resilience, under the for of an index. Ironically, on the academic side there is no clear consensus regarding how resilience should be quantified, or what it exactly refers to in the urban context. Here we attempt to link both extremes providing an example of how to exploit large, publicly available, worldwide urban datasets, to produce objective insight into one of the possible dimensions of urban resilience. We do so via well-established methods in complexity science, such as percolation theory which has a long tradition at providing valuable information on the vulnerability in complex systems. Our findings uncover large differences among studied cities, both regarding their infrastructural fragility and the imbalances in the distribution of critical services. Paper available at: https://arxiv.org/abs/1608.01709]]>
Sun, 14 Aug 2016 17:48:22 GMT /slideshow/robustness-and-resilience-of-cities-around-the-world/64984641 vipyoung@slideshare.net(vipyoung) Robustness and Resilience of Cities Around the World vipyoung The concept of city or urban resilience has emerged as one of the key challenges for the next decades. As a consequence, institutions like the United Nations or Rockefeller Foundation have embraced initiatives that increase or improve it. These efforts translate into funded programs both for action on the ground and to develop quantification of resilience, under the for of an index. Ironically, on the academic side there is no clear consensus regarding how resilience should be quantified, or what it exactly refers to in the urban context. Here we attempt to link both extremes providing an example of how to exploit large, publicly available, worldwide urban datasets, to produce objective insight into one of the possible dimensions of urban resilience. We do so via well-established methods in complexity science, such as percolation theory which has a long tradition at providing valuable information on the vulnerability in complex systems. Our findings uncover large differences among studied cities, both regarding their infrastructural fragility and the imbalances in the distribution of critical services. Paper available at: https://arxiv.org/abs/1608.01709 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/urbcomp16resilience-160814174822-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The concept of city or urban resilience has emerged as one of the key challenges for the next decades. As a consequence, institutions like the United Nations or Rockefeller Foundation have embraced initiatives that increase or improve it. These efforts translate into funded programs both for action on the ground and to develop quantification of resilience, under the for of an index. Ironically, on the academic side there is no clear consensus regarding how resilience should be quantified, or what it exactly refers to in the urban context. Here we attempt to link both extremes providing an example of how to exploit large, publicly available, worldwide urban datasets, to produce objective insight into one of the possible dimensions of urban resilience. We do so via well-established methods in complexity science, such as percolation theory which has a long tradition at providing valuable information on the vulnerability in complex systems. Our findings uncover large differences among studied cities, both regarding their infrastructural fragility and the imbalances in the distribution of critical services. Paper available at: https://arxiv.org/abs/1608.01709
Robustness and Resilience of Cities Around the World from vipyoung
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https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/sdmkharitaslides-180906071148-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/kharita-robust-road-map-inference-through-network-alignment-of-trajectories/113162260 Kharita: Robust Road M... https://cdn.slidesharecdn.com/ss_thumbnails/oddevendelhistory3rdversion-171031061001-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/delhi-oddeven-experiment/81406977 Delhi OddEven Experiment https://cdn.slidesharecdn.com/ss_thumbnails/privacyinqatar-161206121028-thumbnail.jpg?width=320&height=320&fit=bounds vipyoung/privacy-and-twitter-in-qatar-traditional-values-in-the-digital-world Privacy and Twitter i...