## Evolutionary events in a mathematical sciences research collaboration network

- Jason Cory Brunson, Steve Fassino, +5 authors Reinhard C. Laubenbacher
- Scientometrics
- 2013

- Published 2006 in 2006 First International Conference on…

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<sub>max</sub> in two ways: one is `simple graph' and another is not limited to simple graph. We believe `simple graph' is reasonable in s<sub>max</sub> property for social network.

@article{Tsai2006ASN,
title={A Social Network Model Based on Caveman Network},
author={Yihjia Tsai and Ping-Nan Hsiao and Ching-Chang Lin},
journal={2006 First International Conference on Communications and Networking in China},
year={2006},
pages={1-6}
}