Generalized epidemic process on modular networks

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Social reinforcement and modular structure are two salient features observed in the spreading of behavior through social contacts. In order to investigate the interplay between these two features, we study the generalized epidemic process on modular networks with equal-sized finite communities and adjustable modularity. Using the analytical approach originally applied to clique-based random networks, we show that the system exhibits a bond-percolation type continuous phase transition for weak social reinforcement, whereas a discontinuous phase transition occurs for sufficiently strong social reinforcement. Our findings are numerically verified using the finite-size scaling analysis and the crossings of the bimodality coefficient.
Publisher
AMER PHYSICAL SOC
Issue Date
2014-05
Language
English
Article Type
Article
Keywords

BEHAVIOR; DYNAMICS

Citation

PHYSICAL REVIEW E, v.89, no.5

ISSN
1539-3755
DOI
10.1103/PhysRevE.89.052811
URI
http://hdl.handle.net/10203/189148
Appears in Collection
PH-Journal Papers(저널논문)
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