Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2013
Abstract
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.
Keywords
Dormant tie, Online user experiment, Online social network
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media
Publication
Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, ICWSW-13, Cambridge, MA, July 8-11, 2013
First Page
361
Last Page
369
ISBN
9781577356103
Publisher
AAAI Press
City or Country
Palo Alto, CA
Citation
LIM, Ee Peng; CORREA, Denzil; LO, David; FINEGOLD, Michael; and ZHU, Feida.
Reviving dormant ties in an online social network experiment. (2013). Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, ICWSW-13, Cambridge, MA, July 8-11, 2013. 361-369.
Available at: https://ink.library.smu.edu.sg/sis_research/1821
Copyright Owner and License
LARC
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/view/6008
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons, Social Media Commons