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.
|Number of pages||10|
|Journal||Physica A: Statistical Mechanics and its Applications|
|Publication status||Published - Oct 15 2016|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Condensed Matter Physics