Surprise maximization reveals the community structure of complex networks.
about
Multi-resolution community detection in massive networksIdentification of leader and self-organizing communities in complex networks.Identification of hybrid node and link communities in complex networksSignificant scales in community structureCommunity detection in weighted brain connectivity networks beyond the resolution limit.Exploring the limits of community detection strategies in complex networks.Inverse Resolution Limit of Partition Density and Detecting Overlapping Communities by Link-Surprise.Modular structure of brain functional networks: breaking the resolution limit by Surprise.Community detection in dynamic networks via adaptive label propagation.The modulation of neural gain facilitates a transition between functional segregation and integration in the brain.Faster unfolding of communities: speeding up the Louvain algorithm.Detecting communities using asymptotical surprise.General optimization technique for high-quality community detection in complex networks.Critical analysis of (Quasi-)Surprise for community detection in complex networks
P2860
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P2860
Surprise maximization reveals the community structure of complex networks.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年學術文章
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2013年學術文章
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2013年學術文章
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name
Surprise maximization reveals the community structure of complex networks.
@en
Surprise maximization reveals the community structure of complex networks.
@nl
type
label
Surprise maximization reveals the community structure of complex networks.
@en
Surprise maximization reveals the community structure of complex networks.
@nl
prefLabel
Surprise maximization reveals the community structure of complex networks.
@en
Surprise maximization reveals the community structure of complex networks.
@nl
P2860
P356
P1433
P1476
Surprise maximization reveals the community structure of complex networks.
@en
P2093
Ignacio Marín
P2860
P2888
P356
10.1038/SREP01060
P407
P577
2013-01-14T00:00:00Z