Romantic partnerships and the dispersion of social ties: a network analysis of relationship status on facebook

A crucial task in the analysis of on-line social-networking systems is to identify important people --- those linked by strong social ties --- within an individual's network neighborhood. Here we investigate this question for a particular category of strong ties, those involving spouses or romantic partners. We organize our analysis around a basic question: given all the connections among a person's friends, can you recognize his or her romantic partner from the network structure alone? Using data from a large sample of Facebook users, we find that this task can be accomplished with high accuracy, but doing so requires the development of a new measure of tie strength that we term `dispersion' --- the extent to which two people's mutual friends are not themselves well-connected. The results offer methods for identifying types of structurally significant people in on-line applications, and suggest a potential expansion of existing theories of tie strength.

[1]  P. Bearman,et al.  Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks1 , 2004, American Journal of Sociology.

[2]  Matthew E. Brashears,et al.  Social Isolation in America: Changes in Core Discussion Networks over Two Decades , 2006 .

[3]  Xuan Zhao,et al.  It's complicated: how romantic partners use facebook , 2012, CHI.

[4]  Stanford,et al.  Learning to Discover Social Circles in Ego Networks , 2012 .

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

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

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

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

[9]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[10]  Diane Felmlee,et al.  No Couple Is an Island: A Social Network Perspective on Dyadic Stability , 2001 .

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

[12]  Jon M. Kleinberg,et al.  Characterizing and curating conversation threads: expansion, focus, volume, re-entry , 2013, WSDM.

[13]  Elizabeth F. Churchill,et al.  Faceted identity, faceted lives: social and technical issues with being yourself online , 2011, CSCW.

[14]  Benjamin Le,et al.  Predicting nonmarital romantic relationship dissolution: A meta-analytic synthesis , 2010 .

[15]  J. Friedman.  Greedy function approximation: A gradient boosting machine. , 2001 .

[16]  C. Fischer.  To Dwell Among Friends , 1982 .

[17]  E. Bott.  Family and Social Network; Roles, Norms, and External Relationships in Ordinary Urban Families. , 1971 .

[18]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[19]  John Zimmerman,et al.  Mining smartphone data to classify life-facets of social relationships , 2013, CSCW.

[20]  B. Cornwell.  Spousal Network Overlap as a Basis for Spousal Support. , 2012, Journal of marriage and the family.

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

[22]  Matthijs Kalmijn,et al.  Shared friendship networks and the life course: an analysis of survey data on married and cohabiting couples , 2003, Soc. Networks.

[23]  P. V. Marsden,et al.  Measuring Tie Strength , 1984 .

[24]  David Lazer,et al.  Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.

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

[26]  Christopher J. Fariss,et al.  Inferring Tie Strength from Online Directed Behavior , 2013, PloS one.

[27]  Mark S. Granovetter.  Economic Action and Social Structure: The Problem of Embeddedness , 1985, American Journal of Sociology.