Random walk centrality in interconnected multilayer networks
Abstract
Real-world complex systems exhibit multiple levels of relationships. In many cases they require to be modeled as interconnected multilayer networks, characterizing interactions of several types simultaneously. It is of crucial importance in many fields, from economics to biology and from urban planning to social sciences, to identify the most (or the less) influential nodes in a network using centrality measures. However, defining the centrality...
Paper Details
Title
Random walk centrality in interconnected multilayer networks
Published Date
Jun 1, 2016
Volume
323-324
Pages
73 - 79
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