Analyzing User Behavior across Social Sharing Environments

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

doi:10.1145/2535526

Analyzing User Behavior across Social Sharing Environments

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

Web Information Systems

Research output: Contribution to journal › Article › Scientific › peer-review

51 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 language	English
Article number	14
Pages (from-to)	14:1-14:31
Number of pages	31
Journal	ACM Transactions on Intelligent Systems and Technology
Volume	5
Issue number	1
DOIs	https://doi.org/10.1145/2535526
Publication status	Published - 2013

Keywords

Design
Experimentation
Human Factors

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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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AU - de Meo, Pasquale

AU - ferrara, Emilio

AU - Abel, Fabian

AU - Aroyo, Lora

AU - Houben, Geert-Jan

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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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KW - Experimentation

KW - Human Factors

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JF - ACM Transactions on Intelligent Systems and Technology

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Analyzing User Behavior across Social Sharing Environments

Abstract

Keywords

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