Community structure in time-dependent, multiscale, and multiplex networks.
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.
Mucha
Peter J
PJ
Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599, USA. mucha@unc.edu
Richardson
Thomas
T
Macon
Kevin
K
Porter
Mason A
MA
Onnela
Jukka-Pekka
JP
D000465:Algorithms; D033062:Friends; D006126:Group Processes; D006801:Humans; D007398:Interpersonal Relations; D008962:Models, Theoretical; D011057:Politics; D044382:Population Groups; D013997:Time Factors; D014481:United States