Gauging the Evolution of Metric Social Network
| Authors | |
|---|---|
| Year of publication | 2007 |
| Type | Article in Proceedings |
| Conference | 5th International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P 2007) held at 33rd International Conference on Very Large Data Bases (VLDB 2007) |
| MU Faculty or unit | |
| Citation | |
| Web | http://dbisp2p.ingce.unibo.it/ |
| Field | Informatics |
| Keywords | metric space; social network; clustering coefficient |
| Description | In this paper, we tackle the issues of analyzing the structural evolution of the metric social network. The metric social network operates in a P2P environment where peers maintain their own data and the relationships among them are formed on the basis of the processed similarity queries. The evolution is analyzed by traditional social networking tools - the characteristic path length and the clustering coefficient. Nonetheless, due to the special structure of the metric social network, own designed gauges - the average overlap and robustness of description coefficients - are presented to analyze the structure of emerging communities encompassing similar data. |
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