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» Network bargaining: algorithms and structural results
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KDD
2009
ACM
206views Data Mining» more  KDD 2009»
14 years 8 months ago
Ranking-based clustering of heterogeneous information networks with star network schema
A heterogeneous information network is an information network composed of multiple types of objects. Clustering on such a network may lead to better understanding of both hidden s...
Yizhou Sun, Yintao Yu, Jiawei Han
BMCBI
2010
104views more  BMCBI 2010»
13 years 8 months ago
FragViz: visualization of fragmented networks
Background: Researchers in systems biology use network visualization to summarize the results of their analysis. Such networks often include unconnected components, which popular ...
Miha Stajdohar, Minca Mramor, Blaz Zupan, Janez De...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 16 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
DATAMINE
2010
189views more  DATAMINE 2010»
13 years 8 months ago
A game-theoretic framework to identify overlapping communities in social networks
In this paper, we introduce a game-theoretic framework to address the community detection problem based on the structures of social networks. We formulate the dynamics of community...
Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang
ECSQARU
2005
Springer
14 years 1 months ago
On the Use of Restrictions for Learning Bayesian Networks
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
Luis M. de Campos, Javier Gomez Castellano