Journal title
Science
DOI
10.1126/science.1184819
Issue
5980
Volume
328
Last updated
2021-07-18T14:50:38.967+01:00
Page
876-878
Abstract
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.
Symplectic ID
54830
Submitted to ORA
Off
Publication type
Journal Article
Publication date
14 May 2010