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Analyzing User Behavior across Social Sharing Environments. / de Meo, Pasquale; ferrara, Emilio; Abel, Fabian; Aroyo, Lora; Houben, Geert-Jan.

In: ACM Transactions on Intelligent Systems and Technology, Vol. 5, No. 1, 14, 2013, p. 14:1-14:31.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

de Meo, P, ferrara, E, Abel, F, Aroyo, L & Houben, G-J 2013, 'Analyzing User Behavior across Social Sharing Environments' ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 1, 14, pp. 14:1-14:31. https://doi.org/10.1145/2535526

APA

de Meo, P., ferrara, E., Abel, F., Aroyo, L., & Houben, G-J. (2013). Analyzing User Behavior across Social Sharing Environments. ACM Transactions on Intelligent Systems and Technology, 5(1), 14:1-14:31. [14]. https://doi.org/10.1145/2535526

Vancouver

de Meo P, ferrara E, Abel F, Aroyo L, Houben G-J. Analyzing User Behavior across Social Sharing Environments. ACM Transactions on Intelligent Systems and Technology. 2013;5(1):14:1-14:31. 14. https://doi.org/10.1145/2535526

Author

de Meo, Pasquale ; ferrara, Emilio ; Abel, Fabian ; Aroyo, Lora ; Houben, Geert-Jan. / Analyzing User Behavior across Social Sharing Environments. In: ACM Transactions on Intelligent Systems and Technology. 2013 ; Vol. 5, No. 1. pp. 14:1-14:31.

BibTeX

@article{a9673e8e13ac4216943b6218ce51c4ee,
title = "Analyzing User Behavior across Social Sharing Environments",
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.",
keywords = "Design, Experimentation, Human Factors",
author = "{de Meo}, Pasquale and Emilio ferrara and Fabian Abel and Lora Aroyo and Geert-Jan Houben",
year = "2013",
doi = "10.1145/2535526",
language = "English",
volume = "5",
pages = "14:1--14:31",
journal = "ACM Transactions on Intelligent Systems and Technology",
issn = "2157-6904",
publisher = "Association for Computing Machinery (ACM)",
number = "1",

}

RIS

TY - JOUR

T1 - Analyzing User Behavior across Social Sharing Environments

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.

KW - Design

KW - Experimentation

KW - Human Factors

U2 - 10.1145/2535526

DO - 10.1145/2535526

M3 - Article

VL - 5

SP - 14:1-14:31

JO - ACM Transactions on Intelligent Systems and Technology

T2 - ACM Transactions on Intelligent Systems and Technology

JF - ACM Transactions on Intelligent Systems and Technology

SN - 2157-6904

IS - 1

M1 - 14

ER -

ID: 20744260