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» Bibliometric approach to community discovery
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AAAI
2007
13 years 9 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
13 years 9 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
SEBD
2007
101views Database» more  SEBD 2007»
13 years 9 months ago
Service Matching and Discovery in P2P Semantic Community
Abstract. Recently, more and more web services are being made available and their use can potentially highly increase cooperation in P2P systems, where different partners intend t...
Devis Bianchini, Valeria De Antonellis, Michele Me...
AAAI
2012
11 years 9 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach
CCS
2009
ACM
14 years 8 months ago
Automatic discovery of botnet communities on large-scale communication networks
Botnets are networks of compromised computers infected with malicious code that can be controlled remotely under a common command and control (C&C) channel. Recognized as one ...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani