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» Empirical comparison of algorithms for network community det...
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KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 8 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
IJBRA
2010
134views more  IJBRA 2010»
13 years 6 months ago
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks
—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
ISI
2004
Springer
14 years 26 days ago
Discovering Hidden Groups in Communication Networks
We describe models and efficient algorithms for detecting groups (communities) functioning in communication networks which attempt to hide their functionality – hidden groups. O...
Jeffrey Baumes, Mark K. Goldberg, Malik Magdon-Ism...
SIGCOMM
2004
ACM
14 years 28 days ago
Comparison of routing metrics for static multi-hop wireless networks
Routing protocols for wireless ad hoc networks have traditionally focused on finding paths with minimum hop count. However, such paths can include slow or lossy links, leading to...
Richard Draves, Jitendra Padhye, Brian Zill
ICDM
2010
IEEE
202views Data Mining» more  ICDM 2010»
13 years 5 months ago
Discovering Overlapping Groups in Social Media
Abstract--The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, bookmarking in Delicious, twittering in T...
Xufei Wang, Lei Tang, Huiji Gao, Huan Liu