• Feb 07, 2023 News!JACN will adopt Article-by-Article Work Flow. The benefit of article-by-article workflow is that a delay with one article may not delay the entire issue. Once a paper steps into production, it will be published online soon.   [Click]
  • May 30, 2022 News!JACN Vol.10, No.1 has been published with online version.   [Click]
  • Dec 24, 2021 News!Volume 9 No 1 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

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.

Copyright © 2008-2024. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net