The strength of long-range ties in population-scale social networks

The strength of long-range ties It seems reasonable that we would have the closest, strongest ties with people in our immediate social network and that the ties between networks would be weaker. However, Park et al. discovered strong ties that spanned extreme network (not geographic) distances in 11 culturally diverse population-scale networks on four continents—encompassing 56 million Twitter users and 58 million mobile phone subscribers. Although they are fairly rare, strong ties between networks could be important for the spreading of ideas or disease. Science, this issue p. 1410 Data from millions of twitter and mobile phone subscribers suggest that strong, long-range ties bridge distant online communities. Long-range connections that span large social networks are widely assumed to be weak, composed of sporadic and emotionally distant relationships. However, researchers historically have lacked the population-scale network data needed to verify the predicted weakness. Using data from 11 culturally diverse population-scale networks on four continents—encompassing 56 million Twitter users and 58 million mobile phone subscribers—we find that long-range ties are nearly as strong as social ties embedded within a small circle of friends. These high-bandwidth connections have important implications for diffusion and social integration.

[1]  B. Jasny,et al.  The strength of long-range ties , 2018, Science.

[2]  Sandra González-Bailón Decoding the Social World: Data Science and the Unintended Consequences of Communication , 2017 .

[3]  R I M Dunbar,et al.  Do online social media cut through the constraints that limit the size of offline social networks? , 2016, Royal Society Open Science.

[4]  Joshua A. Tucker,et al.  The Critical Periphery in the Growth of Social Protests , 2015, PloS one.

[5]  Per Block,et al.  Multidimensional homophily in friendship networks* , 2014, Network Science.

[6]  Jeffrey T. Hancock,et al.  Experimental evidence of massive-scale emotional contagion through social networks , 2014, Proceedings of the National Academy of Sciences.

[7]  Didier Sornette,et al.  Fractal multi-level organisation of human groups in a virtual world , 2014, Scientific Reports.

[8]  Carlo Ratti,et al.  Geo-located Twitter as proxy for global mobility patterns , 2013, Cartography and geographic information science.

[9]  Jari Saramäki,et al.  Persistence of social signatures in human communication , 2012, Proceedings of the National Academy of Sciences.

[10]  Sean J. Taylor,et al.  Social Influence Bias: A Randomized Experiment , 2013, Science.

[11]  Daniel A. McFarland,et al.  Ties That Last , 2013 .

[12]  Cameron Marlow,et al.  A 61-million-person experiment in social influence and political mobilization , 2012, Nature.

[13]  Tom A. B. Snijders,et al.  Does proximity matter? Distance dependence of adolescent friendships , 2011, Soc. Networks.

[14]  Bill Mitchell,et al.  Networks and geography: Modelling community network structures as the outcome of both spatial and network processes , 2012, Soc. Networks.

[15]  Barry Wellman,et al.  Geography of Twitter networks , 2012, Soc. Networks.

[16]  Scott A. Golder,et al.  Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures , 2011 .

[17]  Sinan Aral,et al.  The Diversity-Bandwidth Trade-off1 , 2011, American Journal of Sociology.

[18]  Nitesh V. Chawla,et al.  Predictors of short-term decay of cell phone contacts in a large scale communication network , 2011, Soc. Networks.

[19]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[20]  Marshall Van Alstyne,et al.  The Diversity-Bandwidth Tradeoff , 2010 .

[21]  Ulrik Brandes,et al.  Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain , 2010, Soc. Networks.

[22]  J. Goldenberg,et al.  The Role of Hubs in the Adoption Process , 2009 .

[23]  The Calculus of Friendship , 2009 .

[24]  N. Christakis,et al.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study , 2008, BMJ : British Medical Journal.

[25]  Burt L. Monroe,et al.  Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict , 2008, Political Analysis.

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

[27]  A. Tiwana Do bridging ties complement strong ties? An empirical examination of alliance ambidexterity , 2008 .

[28]  Etienne Huens,et al.  Geographical dispersal of mobile communication networks , 2008, 0802.2178.

[29]  C. Rodriguez-Sickert,et al.  The dynamics of a mobile phone network , 2007, 0712.4031.

[30]  G. Madey,et al.  Uncovering individual and collective human dynamics from mobile phone records , 2007, 0710.2939.

[31]  Scott L. Feld,et al.  Describing Changes in Personal Networks over Time , 2007 .

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

[33]  John Levi Martin,et al.  Persistence of close personal ties over a 12-year period , 2006, Soc. Networks.

[34]  Gueorgi Kossinets,et al.  Empirical Analysis of an Evolving Social Network , 2006, Science.

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

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

[37]  Ray Reagans,et al.  Network Structure and Knowledge Transfer: The Effects of Cohesion and Range , 2003 .

[38]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[39]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[40]  L. Amaral,et al.  Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[41]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

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

[43]  Barry Wellman,et al.  A decade of network change: Turnover, persistence and stability in personal communities☆ , 1997 .

[44]  J. B. A. Mitchell,et al.  Air Force Office of Scientific Research , 1987 .

[45]  Doug McAdam Recruitment to High-Risk Activism: The Case of Freedom Summer , 1986, American Journal of Sociology.

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