Bonding vs. Bridging Social Capital: A Case Study in Twitter

Online communities are connecting large numbers of individuals and generating rich social network data, opening the way for empirical studies of social behavior. In this paper, we consider the widely-held view of social scientists that bonding interactions are more likely than bridging interactions in social networks, and test it within the context of the large online Twitter community. We find that indeed users who request to follow others having similar profile descriptions (i.e., attempting to bond) increase the number of Twitter users who reciprocate their follow requests. From a practical standpoint, this result also informs how a new user might interact on Twitter to maintain a high follow-back ratio.

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

[2]  Robert D. Putnam,et al.  Bowling alone: the collapse and revival of American community , 2000, CSCW '00.

[3]  David L. Hicks,et al.  Understanding the structure of terrorist networks , 2007, Int. J. Bus. Intell. Data Min..

[4]  Lise Getoor,et al.  Distinguishing Knowledge vs Social Capital in Social Media with Roles and Context , 2009, ICWSM.

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

[6]  Lise Getoor,et al.  Social Capital in Friendship-Event Networks , 2006, Sixth International Conference on Data Mining (ICDM'06).

[7]  Alain Degenne Social capital: a theory of social structure and action , 2004 .

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

[9]  N. Lin Social Capital: Frontmatter , 2001 .

[10]  Pamela Paxton Social Capital and Democracy: An Interdependent Relationship , 2002, American Sociological Review.

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

[12]  J. S. Katz,et al.  Scale-Independent Bibliometric Indicators , 2005 .

[13]  N. Christakis,et al.  SUPPLEMENTARY ONLINE MATERIAL FOR: The Collective Dynamics of Smoking in a Large Social Network , 2022 .

[14]  F. Jordán,et al.  A comparative social network analysis of wasp colonies and classrooms: Linking network structure to functioning , 2009 .

[15]  Lise Getoor,et al.  Co-evolution of social and affiliation networks , 2009, KDD.

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

[17]  P BorgattiStephen Identifying sets of key players in a social network , 2006 .

[18]  Christos Faloutsos,et al.  Graphs over time: densification laws, shrinking diameters and possible explanations , 2005, KDD '05.

[19]  Tanya Y. Berger-Wolf,et al.  A framework for community identification in dynamic social networks , 2007, KDD '07.

[20]  W. Galston Bowling Alone: The Collapse and Revival of American Community , 2001 .

[21]  John Scott Social Network Analysis , 1988 .

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

[23]  Tina W. Wey,et al.  Social network analysis of animal behaviour: a promising tool for the study of sociality , 2008, Animal Behaviour.

[24]  S. Borgatti,et al.  Network Measures of Social Capital , 2012 .

[25]  Dana L. Haynie,et al.  Reconsidering Peers and Delinquency: How do Peers Matter? , 2005 .

[26]  P. Adler,et al.  Social Capital: Prospects for a New Concept , 2002 .

[27]  Wang Jiaxin,et al.  Network structure mining: locating and isolating core members in covert terrorist networks , 2008 .

[28]  Hsinchun Chen,et al.  The topology of dark networks , 2008, Commun. ACM.

[29]  Matthew S. Smith,et al.  Implicit Affinity Networks , 2007 .

[30]  Jure Leskovec,et al.  Microscopic evolution of social networks , 2008, KDD.

[31]  Christophe G. Giraud-Carrier,et al.  Implicit affinity networks and social capital , 2009, Inf. Technol. Manag..

[32]  S. Redner Citation statistics from 110 years of physical review , 2005, physics/0506056.

[33]  Caroline Haythornthwaite,et al.  Strong, Weak, and Latent Ties and the Impact of New Media , 2002, Inf. Soc..

[34]  Stephen P. Borgatti,et al.  Identifying sets of key players in a social network , 2006, Comput. Math. Organ. Theory.

[35]  C. O'Reilly,et al.  Social Capital at the Top: Effects of Social Similarity and Status on CEO Compensation , 1996 .