The Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions

The popularity of the Web has allowed individuals to communicate and interact with each other on a global scale: people connect both to close friends and acquaintances, creating ties that can bridge otherwise separated groups of people. Recent evidence suggests that spatial distance is still affecting social links established on online platforms, with online ties preferentially connecting closer people. In this work we study the relationships between interaction strength, spatial distance and structural position of ties between members of a large-scale online social networking platform, Tuenti. We discover that ties in highly connected social groups tend to span shorter distances than connections bridging together otherwise separated portions of the network. We also find that such bridging connections have lower social interaction levels than ties within the inner core of the network and ties connecting to its periphery. Our results suggest that spatial constraints on online social networks are intimately connected to structural network properties, with important consequences for information diffusion.

[1]  Jure Leskovec,et al.  Planetary-scale views on a large instant-messaging network , 2008, WWW.

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

[3]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

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

[5]  W. Tobler.  A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[6]  Ravi Kumar,et al.  Structure and evolution of online social networks , 2006, KDD '06.

[7]  Lev Muchnik,et al.  Identifying influential spreaders in complex networks , 2010, 1001.5285.

[8]  Duncan J. Watts,et al.  The Structure and Dynamics of Networks: (Princeton Studies in Complexity) , 2006 .

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

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

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

[12]  L. Festinger,et al.  Social pressures in informal groups , 1950 .

[13]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[14]  Mark S. Granovetter.  The Strength of Weak Ties , 1973, American Journal of Sociology.

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

[16]  Eric Gilbert,et al.  Predicting tie strength with social media , 2009, CHI.

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

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

[19]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[20]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[21]  Stanley Milgram,et al.  An Experimental Study of the Small World Problem , 1969 .

[22]  Jennifer Neville,et al.  Using Transactional Information to Predict Link Strength in Online Social Networks , 2009, ICWSM.

[23]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[24]  Jon M. Kleinberg,et al.  Navigation in a small world , 2000, Nature.

[25]  Seungyeop Han,et al.  Analysis of topological characteristics of huge online social networking services , 2007, WWW '07.

[26]  Stephen B. Seidman,et al.  Network structure and minimum degree , 1983 .

[27]  D. Watts,et al.  An Experimental Study of Search in Global Social Networks , 2003, Science.