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Haven’t read this yet but it looks interesting.


P.J. Mucha et al. (2010) Community Structure in Time-Dependent, Multiscale, and Multiplex Networks.  Science, 328, 876-878


Network science is an interdisciplinary endeavor, with methods and applications drawn from across

the natural, social, and information sciences. A prominent problem in network science is the

algorithmic detection of tightly connected groups of nodes known as communities. We developed a

generalized framework of network quality functions that allowed us to study the community

structure of arbitrary multislice networks, which are combinations of individual networks coupled

through links that connect each node in one network slice to itself in other slices. This framework

allows studies of community structure in a general setting encompassing networks that evolve over

time, have multiple types of links (multiplexity), and have multiple scales.




Steven R. (Steve) Corman

Herberger Professor

Director, Consortium for Strategic Communication

Hugh Downs School of Human Communication

Arizona State University





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