Analyzing User Behavior across Social Sharing Environments

Pasquale de Meo, Emilio ferrara, Fabian Abel, Lora Aroyo, Geert-Jan Houben

Research output: Contribution to journalArticleScientificpeer-review

41 Citations (Scopus)

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.
Original languageEnglish
Article number14
Pages (from-to)14:1-14:31
Number of pages31
JournalACM Transactions on Intelligent Systems and Technology
Volume5
Issue number1
DOIs
Publication statusPublished - 2013

Keywords

  • Design
  • Experimentation
  • Human Factors

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