Analyzing user behavior across social sharing environments

P. Meo, E. Ferrara, F. Abel, L.M. Aroyo, G.J Houben

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

In this work we present an in-depth analysis of the user behaviors on different Social Sharing systems. We consider three popular platforms, Flickr, Delicious and StumbleUpon, and, by combining techniques from social network analysis with techniques from semantic analysis, we characterize the tagging behavior as well as the tendency to create friendship relationships of the users of these platforms. The aim of our investigation is to see if (and how) the features and goals of a given Social Sharing system reflect on the behavior of its users and, moreover, if there exists a correlation between the social and tagging behavior of the users. We report our findings in terms of the characteristics of user profiles according to three different dimensions: (i) intensity of user activities, (ii) tag-based characteristics of user profiles, and (iii) semantic characteristics of user profiles. © 2013 ACM 2157-6904/2013/12-ART5 $ 15.00.
Original languageEnglish
JournalACM Transactions on Intelligent Systems and Technology
DOIs
Publication statusPublished - 2015

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User Behavior
User Profile
Sharing
Semantics
Tagging
Electric network analysis
Semantic Analysis
Social Network Analysis

Cite this

Meo, P. ; Ferrara, E. ; Abel, F. ; Aroyo, L.M. ; Houben, G.J. / Analyzing user behavior across social sharing environments. In: ACM Transactions on Intelligent Systems and Technology. 2015.
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Analyzing user behavior across social sharing environments. / Meo, P.; Ferrara, E.; Abel, F.; Aroyo, L.M.; Houben, G.J.

In: ACM Transactions on Intelligent Systems and Technology, 2015.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Ferrara, E.

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