A Social Network Model Based on Caveman Network

The study suggests a model for social network based on a caveman network. The model we propose can fit the following two properties: (1) `small-world property' which has high clustering coefficient, and (2) `scale-free property' which has power law degree distribution. In addition, the mod...

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Hauptverfasser: Yihjia Tsai, Ping-Nan Hsiao, Ching-Chang Lin
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:The study suggests a model for social network based on a caveman network. The model we propose can fit the following two properties: (1) `small-world property' which has high clustering coefficient, and (2) `scale-free property' which has power law degree distribution. In addition, the model is modified to match the s-metric property. The s-metric property provides a new viewpoint of scale-free network which was proposed last year. In this study, we calculate the s max in two ways: one is `simple graph' and another is not limited to simple graph. We believe `simple graph' is reasonable in s max property for social network.
DOI:10.1109/CHINACOM.2006.344816