Journal article
Robust detection of dynamic community structure in networks.
- Abstract:
-
We describe techniques for the robust detection of community structure in some classes of time-dependent networks. Specifically, we consider the use of statistical null models for facilitating the principled identification of structural modules in semi-decomposable systems. Null models play an important role both in the optimization of quality functions such as modularity and in the subsequent assessment of the statistical validity of identified community structure. We examine the sensitivity...
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- Publication status:
- Published
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- Publisher copy:
- 10.1063/1.4790830
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Authors
Bibliographic Details
- Journal:
- Chaos (Woodbury, N.Y.)
- Volume:
- 23
- Issue:
- 1
- Pages:
- 013142
- Publication date:
- 2013-03-01
- DOI:
- EISSN:
-
1089-7682
- ISSN:
-
1054-1500
- Source identifiers:
-
394889
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:394889
- UUID:
-
uuid:a900072a-80b3-440b-9032-629795454f6e
- Local pid:
- pubs:394889
- Deposit date:
- 2013-11-17
Terms of use
- Copyright date:
- 2013
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