Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 387, Issue 2-3, Pages 623-630Publisher
ELSEVIER
DOI: 10.1016/j.physa.2007.09.039
Keywords
social networks; adjustable clustering coefficient; epidemic spreading; degree of community
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Two key features of social networks are the community structure and the high clustering coefficient. For understanding their influences on dynamical processes, we present a model with both an adjustable clustering coefficient and an adjustable degree of community. This model has an invariant degree distribution when its clustering coefficient is being adjusted. We find that the efficiency of epidemic spreading in this model depends mainly on the degree of community and decreases with increase of the degree of community. For a fixed degree of community, the efficiency will decrease with increase of the clustering coefficient. Numerical simulations have confirmed the theoretic analysis. (c) 2007 Elsevier B.V. All rights reserved.
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