- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1063/1.4790830
-
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- Journal:
- Chaos (Woodbury, N.Y.)
- Volume:
- 23
- Issue:
- 1
- Pages:
- 013142
- Publication date:
- 2013-03-05
- DOI:
- EISSN:
-
1089-7682
- ISSN:
-
1054-1500
- URN:
-
uuid:a900072a-80b3-440b-9032-629795454f6e
- Source identifiers:
-
394889
- Local pid:
- pubs:394889
- Copyright date:
- 2013
Journal article
Robust detection of dynamic community structure in networks.
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