Equivalence between modularity optimization and maximum likelihood methods for community detection
M. E. J. NewmanDepartment of Physics and Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan 48109, USA
2016en
ABI
Abstract
This paper examines two common methods of community detection in networks, namely modularity maximization and the maximum likelihood method. The author shows an equivalence between these two methods, and explores some of its consequences.
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Citations and references
Cited by 30 references