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13 January 2012 Research on social communication network evolution based on topology potential distribution
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Abstract
Aiming at the problem of social communication network evolution, first, topology potential is introduced to measure the local influence among nodes in networks. Second, from the perspective of topology potential distribution the method of network evolution description based on topology potential distribution is presented, which takes the artificial intelligence with uncertainty as basic theory and local influence among nodes as essentiality. Then, a social communication network is constructed by enron email dataset, the method presented is used to analyze the characteristic of the social communication network evolution and some useful conclusions are got, implying that the method is effective, which shows that topology potential distribution can effectively describe the characteristic of sociology and detect the local changes in social communication network.
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Dongjie Zhao, Jian Jiang, Deyi Li, Haisu Zhang, and Guisheng Chen "Research on social communication network evolution based on topology potential distribution", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835032 (13 January 2012); https://doi.org/10.1117/12.920594
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