DocumentCode
108945
Title
Understanding user behavior in online social networks: a survey
Author
Long Jin ; Yang Chen ; Tianyi Wang ; Pan Hui ; Vasilakos, Athanasios V.
Author_Institution
Univ. of California, San Diego, La Jolla, CA, USA
Volume
51
Issue
9
fYear
2013
fDate
Sep-13
Firstpage
144
Lastpage
150
Abstract
Currently, online social networks such as Facebook, Twitter, Google+, LinkedIn, and Foursquare have become extremely popular all over the world and play a significant role in people¿s daily lives. People access OSNs using both traditional desktop PCs and new emerging mobile devices. With more than one billion users worldwide, OSNs are a new venue of innovation with many challenging research problems. In this survey, we aim to give a comprehensive review of state-of-the-art research related to user behavior in OSNs from several perspectives. First, we discuss social connectivity and interaction among users. Also, we investigate traffic activity from a network perspective. Moreover, as mobile devices become a commodity, we pay attention to the characteristics of social behaviors in mobile environments. Last but not least, we review malicious behaviors of OSN users, and discuss several solutions to detect misbehaving users. Our survey serves the important roles of both providing a systematic exploration of existing research highlights and triggering various potentially significant research in these topics.
Keywords
behavioural sciences computing; human computer interaction; mobile computing; social networking (online); user interfaces; Facebook; Foursquare; Google+; LinkedIn; OSN; Twitter; desktop PC; misbehaving user detection; mobile devices; online social networks; social behaviors; social connectivity; social interaction; traffic activity; user behavior; Behavioral science; Facebook; Mobile communication; Mobile handsets; Social network services; Twitter;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2013.6588663
Filename
6588663
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