Title | ||
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A Probabilistic Framework for Structural Analysis and Community Detection in Directed Networks. |
Abstract | ||
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There is growing interest in structural analysis of directed networks. Two major points that need to be addressed are: 1) a formal and precise definition of the graph clustering and community detection problem in directed networks and 2) algorithm design and evaluation of community detection algorithms in directed networks. Motivated by these, we develop a probabilistic framework for structural an... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TNET.2017.2762403 | IEEE/ACM Transactions on Networking |
Keywords | Field | DocType |
Partitioning algorithms,Probabilistic logic,Algorithm design and analysis,Detection algorithms,Sampling methods,Markov processes,IEEE transactions | Hierarchical clustering,PageRank,Data mining,Algorithm design,Computer science,Centrality,Theoretical computer science,Probabilistic logic,Clustering coefficient,Time complexity,Modularity,Distributed computing | Journal |
Volume | Issue | ISSN |
26 | 1 | 1063-6692 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cheng-Shang Chang | 1 | 2392 | 246.97 |
Duan-Shin Lee | 2 | 670 | 71.00 |
liheng liou | 3 | 17 | 2.83 |
Sheng-Min Lu | 4 | 2 | 1.10 |
Mu-Huan Wu | 5 | 1 | 0.72 |