Abstract
| Original language | English |
|---|---|
| Journal | ACM Transactions on Intelligent Systems and Technology |
| DOIs | |
| Publication status | Published - 2015 |
Fingerprint
Cite this
}
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 Journal › Article › Academic › peer-review
TY - JOUR
T1 - Analyzing user behavior across social sharing environments
AU - Meo, P.
AU - Ferrara, E.
AU - Abel, F.
AU - Aroyo, L.M.
AU - Houben, G.J
PY - 2015
Y1 - 2015
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. © 2013 ACM 2157-6904/2013/12-ART5 $ 15.00.
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. © 2013 ACM 2157-6904/2013/12-ART5 $ 15.00.
U2 - 10.1145/2535526
DO - 10.1145/2535526
M3 - Article
JO - ACM Transactions on Intelligent Systems and Technology
JF - ACM Transactions on Intelligent Systems and Technology
SN - 2157-6904
ER -