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Clique percolation method
Known as:
CPM
The clique percolation method is a popular approach for analyzing the overlapping community structure of networks. The term network community (also…
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Related topics
Related topics
8 relations
Clique (graph theory)
Erdős–Rényi model
Girvan–Newman algorithm
Hierarchical clustering
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Comparison of Overlapping Community Detection in Large Complex Network
Khyati Fatania
,
D. Joshi
,
T. Patalia
,
Yasmin Jejani
International Conference on Recent Advances in…
2019
Corpus ID: 211210928
Many large scale network contains community structure, that nodes are densely connected with own group and less connected to…
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2019
2019
A Trust Model in Bootstrap Percolation
Rinni Bhansali
,
L. Schaposnik
2019
Corpus ID: 91180589
Bootstrap percolation is a class of monotone cellular automata describing an activation process which follows certain activation…
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2017
2017
Lexicographical-Based Order for Post-OCR Correction of Named Entities
Axel Jean-Caurant
,
Nouredine Tamani
,
V. Courboulay
,
J. Burie
IEEE International Conference on Document…
2017
Corpus ID: 4721687
We are in the era of information access in which a huge amount of text is extracted from scanned documents and made available…
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2017
2017
Novel Clique enumeration heuristic for detecting overlapping clusters
R. Schmitt
,
P. Ramos
,
Rafael de Santiago
,
L. Lamb
IEEE Congress on Evolutionary Computation
2017
Corpus ID: 20923252
There are several known methods for detecting overlapping communities in graphs, each one having their advantages and limitations…
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2017
2017
Research on Multi-label Propagation Algorithm for Community Detection Based on Weibo
Yun Pan
,
Bo Xie
,
Xiao-jun Li
2017
Corpus ID: 56347905
Community structure in social network has an overlapping property from where people can find a lot of valuable information by…
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2013
2013
Distributed Clique Percolation based community detection on social networks using MapReduce
Ali Varamesh
,
M. Akbari
,
Mehdi Fereiduni
,
Saeed Sharifian
,
A. Bagheri
Conference on Information and Knowledge…
2013
Corpus ID: 10508617
In study of complex networks, valuable insights can be obtained by mining structural and functional sub-units of networks…
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2013
2013
Task and Time Aware Community Detection in Dynamically Evolving Social Networks
Tobias Hecking
,
Tilman Göhnert
,
Sam Zeini
,
H. Hoppe
International Conference on Conceptual Structures
2013
Corpus ID: 40911472
2012
2012
A Cohesive Subgraph Visualization-Based Approach to Efficiently Discover Large k-Clique Community
Kaikuo Xu
,
JiaLing He
,
Surong Zou
,
Hongwei Zhang
,
Tianyun Yan
,
Xuzhong Wei
The Arabian journal for science and engineering
2012
Corpus ID: 76652934
Community detection is widely used in many applications such as social network analysis, collaborative filtering and information…
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2011
2011
Different Approaches to Groups and Key Person Identification in Blogosphere
Anna Zygmunt
,
Piotr Bródka
,
Przemyslaw Kazienko
,
J. Kozlak
International Conference on Advances in Social…
2011
Corpus ID: 15550064
Two approaches for identifying key persons in the blogosphere-based social network are analysed in the paper: discovery of the…
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2009
2009
A fast iterative-clique percolation method for identifying functional modules in protein interaction networks
P. Sun
,
Lin Gao
Frontiers of Computer Science in China
2009
Corpus ID: 2459669
Accumulating evidence suggests that biological systems are composed of interacting, separable, functional modules-groups of…
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