Where Online Friends Meet: Social Communities in Location-Based Networks

Recent research suggests that, as in offline scenarios, spatial proximity increases the likelihood that two individuals establish an online social connection, and geographic closeness could therefore influence the formation of online communities. In this work we present a study of communities in two online social networks with location-sharing features and analyze their social and spatial properties. We study the places users visit to understand whether communities revolve around places or whether they exist independently. Our results suggest that community structure in social networks may arise from both social and spatial factors, so that exploiting information about the places where people go could benefit the definition of new community detection methods and community evolution models.

[1]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[2]  K. Back.  Influence through social communication. , 1951, Journal of abnormal psychology.

[3]  Jasmine Novak,et al.  Geographic routing in social networks , 2005, Proc. Natl. Acad. Sci. USA.

[4]  Renaud Lambiotte,et al.  Uncovering space-independent communities in spatial networks , 2010, Proceedings of the National Academy of Sciences.

[5]  S. Kiesler,et al.  Applying Common Identity and Bond Theory to Design of Online Communities , 2007 .

[6]  Yiannis Kompatsiaris,et al.  Community detection in Social Media , 2012, Data Mining and Knowledge Discovery.

[7]  Jon M. Kleinberg,et al.  Group formation in large social networks: membership, growth, and evolution , 2006, KDD '06.

[8]  J. Sempsey.  The death of distance: How the communications revolution will change our lives , 1998 .

[9]  B. Wellman,et al.  Does Distance Matter in the Age of the Internet? , 2008 .

[10]  S. Feld.  The Focused Organization of Social Ties , 1981, American Journal of Sociology.

[11]  Jukka-Pekka Onnela,et al.  Geographic Constraints on Social Network Groups , 2010, PloS one.

[12]  Shuliang Wang,et al.  Data Mining and Knowledge Discovery , 2005, Mathematical Principles of the Internet.

[13]  Frances Cairncross.  The death of distance : how the communications revolution will change our lives , 1997 .

[14]  Lars Backstrom,et al.  Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.

[15]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[16]  Cecilia Mascolo,et al.  Socio-Spatial Properties of Online Location-Based Social Networks , 2011, ICWSM.

[17]  J. Q. Stewart.  AN INVERSE DISTANCE VARIATION FOR CERTAIN SOCIAL INFLUENCES. , 1941, Science.