Article ID Journal Published Year Pages File Type
412849 Neurocomputing 2010 4 Pages PDF
Abstract

In this paper, we propose a new rewiring rule that generates small-world networks with larger clustering coefficient and smaller average path length. Unlike the random rewiring rule in the WS model described by Watts and Strogatz, we use the “rich-gets-richer” rule that links a vertex that already has a large number of connections and has a higher probability. Simulation results also verify that the novel “rich-gets-richer” rule based small-world network is an improvement over the WS model.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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