TY - JOUR
T1 - A multi-community homogeneous small-world network and its fundamental characteristics
AU - Tanimoto, Jun
N1 - Funding Information:
This study was supported by a Grant-in-Aid for Scientific Research by JSPS awarded to Professor Tanimoto ( #15K14077 ). We would like to express our gratitude for this funding source.
PY - 2016/10/15
Y1 - 2016/10/15
N2 - We introduce a new small-world network-which we call the multi-community homogeneous-small-world network-that is divided into multiple communities that are relatively isolated, similar to sparsely connected islands. A generating algorithm is presented and its network parameters are explored. To elucidate the fundamental characteristics of the proposed topology, we adopt spatial prisoner's dilemma games as a template for discussion. Comparing with a conventional homogeneous small-world network, more enhanced network reciprocity is observed in games where a stag hunt-type dilemma is large. With intensive analysis, we find how this enhancement is brought about.
AB - We introduce a new small-world network-which we call the multi-community homogeneous-small-world network-that is divided into multiple communities that are relatively isolated, similar to sparsely connected islands. A generating algorithm is presented and its network parameters are explored. To elucidate the fundamental characteristics of the proposed topology, we adopt spatial prisoner's dilemma games as a template for discussion. Comparing with a conventional homogeneous small-world network, more enhanced network reciprocity is observed in games where a stag hunt-type dilemma is large. With intensive analysis, we find how this enhancement is brought about.
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U2 - 10.1016/j.physa.2016.04.044
DO - 10.1016/j.physa.2016.04.044
M3 - Article
AN - SCOPUS:84969622331
SN - 0378-4371
VL - 460
SP - 88
EP - 97
JO - Physica A: Statistical Mechanics and its Applications
JF - Physica A: Statistical Mechanics and its Applications
ER -