DocumentCode :
1450091
Title :
Understanding Community Dynamics in Online Social Networks: A multidisciplinary review
Author :
Sundaram, Hari ; Lin, Yu-Ru ; De Choudhury, Munmun ; Kelliher, Aisling
Volume :
29
Issue :
2
fYear :
2012
fDate :
3/1/2012 12:00:00 AM
Firstpage :
33
Lastpage :
40
Abstract :
Social network systems are significant scaffolds for political, economic, and sociocultural change. This is in part due to the widespread availability of sophisticated network technologies and the concurrent emergence of rich media Web sites. Social network sites provide new opportunities for social-technological research. Since we can inexpensively collect electronic records (over extended periods) of social data spanning diverse populations, it is now possible to study social processes on a scale of tens of million individuals. To understand the large-scale dynamics of interpersonal interaction and its outcome, this article links the perspectives in the humanities for analysis of social networks to recent developments in data intensive computational approaches. With special emphasis on social communities mediated by network technologies, we review the historical research arc of community analysis as well as methods applicable to community discovery in social media.
Keywords :
cultural aspects; human computer interaction; social aspects of automation; social networking (online); community dynamics; economic change; electronic records; interpersonal interaction dynamics; network technologies; online social networks; political change; rich media Web sites; social communities; social data spanning diverse populations; social-technological research; sociocultural change; Cultural differences; Economics; Ethical aspects; Human factors; Social factors; Social implications of technology; Social network services;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2011.943583
Filename :
6153141
Link To Document :
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