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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 6 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
CORR
2010
Springer
259views Education» more  CORR 2010»
14 years 9 months ago
Community Detection in Networks: The Leader-Follower Algorithm
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...
Devavrat Shah, Tauhid Zaman
KDD
2006
ACM
157views Data Mining» more  KDD 2006»
15 years 10 months ago
Using structure indices for efficient approximation of network properties
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
Matthew J. Rattigan, Marc Maier, David Jensen
CHI
2007
ACM
15 years 1 months ago
A familiar face(book): profile elements as signals in an online social network
Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, gi...
Cliff Lampe, Nicole Ellison, Charles Steinfield
SEMWEB
2005
Springer
15 years 3 months ago
Semantically Rich Recommendations in Social Networks for Sharing, Exchanging and Ranking Semantic Context
Recommender algorithms have been quite successfully employed in a variety of scenarios from filtering applications to recommendations of movies and books at Amazon.com. However, a...
Stefania Ghita, Wolfgang Nejdl, Raluca Paiu