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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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