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Analyzing user behavior across social sharing environments

Published:03 January 2014Publication History
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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.

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          cover image ACM Transactions on Intelligent Systems and Technology
          ACM Transactions on Intelligent Systems and Technology  Volume 5, Issue 1
          Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
          December 2013
          520 pages
          ISSN:2157-6904
          EISSN:2157-6912
          DOI:10.1145/2542182
          Issue’s Table of Contents

          Copyright © 2014 ACM

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          Publication History

          • Published: 3 January 2014
          • Accepted: 1 March 2013
          • Revised: 1 June 2012
          • Received: 1 March 2012
          Published in tist Volume 5, Issue 1

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