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2008

A dual assortative measure of community structure

Kaplan, Todd D., Forrest, Stephanie

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Current community detection algorithms operate by optimizing a statistic called modularity, which analyzes the distribution of positively weighted edges in a network.

Modularity does not account for negatively weighted edges.
This paper introduces a dual assortative modularity measure (DAMM) that incorporates both positively and negatively weighted edges.
We describe the the DAMM statistic and illustrate its utility in a community detection algorithm.

A dual assortative measure of community structure · Around

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M. Newman, Phys. Rev. Lett. 89
2002
Earlier work this paper cites.
M. Newman, Phys. Rev. E 67
2003
Earlier work this paper cites.

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M. Newman and M. Girvan, Phys. Rev. E 69
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M. Newman, Phys. Rev. E 74
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S. Boettcher and A. G. Percus, Physical Review Letters 86
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S. Boettcher and A. G. Percus, Physical Review E 64
Original
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Then

A. Clauset, M. Newman, and C. Moore, Physical Review E 70
2004
Later among the works it cites.
J. Duch and A. Arenas, Phys. Rev. E (2005)
2005
Later among the works it cites.

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