Analyzing User Behavior across Social Sharing Environments

被引:30
作者
de Meo, Pasquale [1 ]
Ferrara, Emilio [2 ]
Abel, Fabian [3 ]
Aroyo, Lora [4 ]
Houben, Geert-Jan [3 ]
机构
[1] Univ Messina, Dept Ancient & Modern Civilizat, I-98100 Messina, Italy
[2] Indiana Univ, Sch Informat & Comp, Ctr Complex Networks & Syst Res, Bloomington, IN USA
[3] Delft Univ Technol, NL-2600 AA Delft, Netherlands
[4] Vrije Univ Amsterdam, Dept Comp Sci, Amsterdam, Netherlands
关键词
Design; Experimentation; Human Factors; Social networks; Folksonomies; Social systems; Semantic analysis; User modeling; FOLKSONOMIES; INFORMATION; SYSTEMS; SEARCH;
D O I
10.1145/2535526
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:31
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