Title
Uncovering the effect of dominant attributes on community topology: A case of facebook networks.
Abstract
Community structure points to structural patterns and reflects organizational or functional associations of networks. In real networks, each node usually contains multiple attributes representing the node’s characteristics. It is difficult to identify the dominant attributes, which have definitive effects on community formation. In this paper, we obtain the overlapping communities using game-theoretic clustering and focus on identifying the dominant attributes in terms of each community. We uncover the association of attributes to the community topology by defining dominance ratio and applying Pearson correlation. We test our method on Facebook data of 100 universities and colleges in the U.S. The study enables an integrating observation on how the offline lives infer online consequences. The results showed that people in class year 2010 and people studying in the same major tend to form denser and smaller groups on Facebook. Such information helps e-marketing campaigns target right customers based on demographic information and without the knowledge of underlying social networks.
Year
DOI
Venue
2018
10.1007/s10796-016-9696-0
Information Systems Frontiers
Keywords
Field
DocType
Dominant attribute, Community detection, Facebook, Game-theoretic clustering, Dominance ratio, Community topology
Topology,Community structure,Pearson product-moment correlation coefficient,Social network,Computer science,Knowledge management,Cluster analysis
Journal
Volume
Issue
ISSN
20
5
1572-9419
Citations 
PageRank 
References 
1
0.34
18
Authors
3
Name
Order
Citations
PageRank
Yi-Shan Sung110.34
Dashun Wang262727.09
Soundar Kumara353643.18