Characterizing User Behavior and Information Propagation on a Social Multimedia Network
Francis T. O'Donovan, Connie Fournelle, Steve Gaffigan, Oliver, Brdiczka, Jianqiang Shen, Juan Liu, and Kendra E. Moore
TL;DR
This paper analyzes user behavior and multimedia sharing patterns on Facebook, identifying user clusters and properties of popular content through data analysis of anonymized user profiles and activities.
Contribution
It introduces a new clustering of user behaviors and links these to demographic and psychological profiles, enhancing understanding of online social multimedia dynamics.
Findings
Five user behavior clusters identified
Correlations between user profiles and sharing habits
Properties of popular multimedia content characterized
Abstract
An increasing portion of modern socializing takes place via online social networks. Members of these communities often play distinct roles that can be deduced from observations of users' online activities. One such activity is the sharing of multimedia, the popularity of which can vary dramatically. Here we discuss our initial analysis of anonymized, scraped data from consenting Facebook users, together with associated demographic and psychological profiles. We present five clusters of users with common observed online behaviors, where these users also show correlated profile characteristics. Finally, we identify some common properties of the most popular multimedia content.
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