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Cornell Info Science Seminar

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This document discusses research on analyzing social media data to understand user behaviors and extract useful information. It presents several studies that analyzed tags and activity on Flickr and other platforms to identify locations and topics. Other research examined how to identify influential users and measure information diffusion. The document outlines ongoing and future work on modeling information sharing on social networks and understanding collective attention on social media.

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Neighbourhood Boundaries by Tom Tayloer http://boundaries.tomtaylor.co.uk/ 12
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More “activity” in a certain location indicates the importance of that location Tags that are unique to a certain location can be used to represent the location Ahern et al. [JCDL 2007] Social Media - Mor Naaman 14
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Stanley Milgram, 1976. ”Psychological Maps of Paris” Social Media - Mor Naaman 17
Y!RB, 2006 Tag Maps: World Explorer Social Media - Mor Naaman 18
Ahern et al. [JCDL 2007] http://tagmaps.research.yahoo.com 19
Kennedy et al. [MM 2007, WWW 2008] Social Media - Mor Naaman 20
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Jan- May- Sep- Jan- May- Sep- Jan- May- 05 05 05 06 06 06 07 07 Social Media - Mor Naaman 23
Flickr Trends Media - Mor Naaman Social by Kellan http://flickrtrends.appspot.com 24
TagLines by Yahoo! http://research.yahoo.com/taglines/ 25
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Flickr Map by Yahoo! http://flickr.com/map/ 27
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Rattenbury et al. [SIGIR 2007] Social Media - Mor Naaman 31
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Becker, Naaman, Gravano [WebDB 2009, WSDM 2009] Mor Naaman Rutgers SC&I 33
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Ames and Naaman [CHI 2007] Ahern et al. [CHI 2007] Nov, Naaman, Ye [CHI2008, ICWSM2009, JASIST(f.c.)] Social Media - Mor Naaman 35
Ames and Naaman [CHI 2007] Social Media - Mor Naaman 36
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Naaman, Boase, Lai [CSCW 2010] Social Media - Mor Naaman 45
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Naaman, Boase, Lai [CSCW 2010] Social Media - Mor Naaman 47
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From Elizabeth Currid & Sarah Williams Social Media - Mor Naaman 53
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