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» Empirical comparison of algorithms for network community det...
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CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 7 months ago
Community Detection using a Measure of Global Influence
Abstract. The growing popularity of online social networks gave researchers access to large amount of network data and renewed interest in methods for automatic community detection...
Rumi Ghosh, Kristina Lerman
WWW
2009
ACM
14 years 8 months ago
Collaborative filtering for orkut communities: discovery of user latent behavior
Users of social networking services can connect with each other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows over ...
WenYen Chen, Jon-Chyuan Chu, Junyi Luan, Hongjie B...
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 7 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
WWW
2007
ACM
14 years 8 months ago
Expertise networks in online communities: structure and algorithms
Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other...
Jun Zhang, Mark S. Ackerman, Lada A. Adamic
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 1 days ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou