Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
724925 | The Journal of China Universities of Posts and Telecommunications | 2014 | 10 Pages |
Abstract
Based on observation of the growing mechanism in Twitter-like online social networks, an online social network (OSN) evolution model was proposed. a renewal mechanism for the old nodes and an accelerated growth mechanism was introduced for the new nodes, comparing with the native copying model. Topological characteristics of the generated networks, such as degree distribution, average shortest-path length and clustering coefficient, are analyzed and numerized. These properties are validated with some crawled datasets of real online social networks.
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