Title
A Probabilistic Framework for Structural Analysis and Community Detection in Directed Networks.
Abstract
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 Chang12392246.97
Duan-Shin Lee267071.00
liheng liou3172.83
Sheng-Min Lu421.10
Mu-Huan Wu510.72