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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(1): 35-39 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.78

Characterizing the Activity of Friendship Triads on Facebook

Derek Doran, Alberto de la Rosa Algarin, and Swapna S. Gokhale
Abstract—Contemporary approaches to analyze user behavior on online social networks consider interactions among pairs of directly connected users or dyads. A large body of sociological work, however, suggests that mutual connections can influence the activity between two users, leading to differences between three-way and two-way interactions. This paper explores the dynamics of three-way relationships on Facebook. Categorizing each connection as a close friend or an acquaintance, contingent on the number of wall posts, this study examines how the different types of connections forming triads influence their characteristics embodied in posting activity, inter-post, reciprocation, and formation times, and activity decay. The analysis indicates that the number of constituent friendships primarily influences the characteristics of triads.

Index Terms—Behavioral analysis, facebook, online social network analysis, triads.

D. Doran, A. Algarin, and S. Gokhale are with the Dept. of Computer Science & Engineering, University of Connecticut, Storrs, CT, 06269 USA (e-mail: derek.doran@engr.uconn.edu; ada@engr.uconn.edu; ssg@engr.uconn.edu).


Cite:Derek Doran, Alberto de la Rosa Algarin, and Swapna S. Gokhale, "Characterizing the Activity of Friendship Triads on Facebook," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 35-39, 2014.

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