Reviving Dormant Ties in an Online Social Network Experiment

Social network users connect and interact with one another to fulfil different kinds of social and information needs.When interaction ceases between two users, we say that their tie becomes dormant. While there are different underlying reasons of dormant ties, it is important to find means to revive such ties so as to maintain vibrancy in the relationships. In this work, we thus focus on designing an online experiment to evaluate the effectiveness of personalized social messages to revive dormant ties. The experiment carefully selects users with dormant ties so that no user gets mixed treatments and be affected by the responses of other users undergoing treatment. Our results show that personalized message content plays an important part in reviving dormant ties. Specifically, we find the message containing friend's recent activity information is more effective than that containing inter-friend activity information. We observe that the quality of engagement of at least 50% of the revived ties can effectively be restored to the level before the ties become dormant. We also observe that it is easier to revive dormant ties that involve users from the same country than those involving users from different countries.

[1]  Kirsten Swearingen,et al.  Interaction Design for Recommender Systems , 2002 .

[2]  David Lo,et al.  Collective Churn Prediction in Social Network , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

[3]  H. Russell Bernard,et al.  Estimating the size of personal networks , 1990 .

[4]  Robin I. M. Dunbar Neocortex size as a constraint on group size in primates , 1992 .

[5]  Robert E. Kraut,et al.  Socialization tactics in wikipedia and their effects , 2010, CSCW '10.

[6]  Matthew Rowe,et al.  The effect of user features on churn in social networks , 2011, WebSci '11.

[7]  Daniele Quercia,et al.  Loosing "friends" on Facebook , 2012, WebSci '12.

[8]  David Liben-Nowell,et al.  The link-prediction problem for social networks , 2007 .

[9]  Albert A. Cannella,et al.  Social Capital and Knowledge Creation: Diminishing Returns of the Number and Strength of Exchange Relationships , 2004 .

[10]  Aristides Gionis,et al.  Suggesting ghost edges for a smaller world , 2011, CIKM '11.

[11]  Kelly Quinn,et al.  WE HAVEN'T TALKED IN 30 YEARS! , 2013 .

[12]  Daniel Z. Levin,et al.  Dormant Ties: The Value of Reconnecting , 2011, Organ. Sci..

[13]  Aaron Halfaker,et al.  Defense Mechanism or Socialization Tactic? Improving Wikipedia's Notifications to Rejected Contributors , 2012, ICWSM.

[14]  David Richard Moore,et al.  E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning , 2006 .

[15]  Rossano Schifanella,et al.  Friendship prediction and homophily in social media , 2012, TWEB.

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

[17]  Qi He,et al.  Boosting social network connectivity with link revival , 2010, CIKM '10.