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Disparity filter algorithm of weighted network : ウィキペディア英語版 | Disparity filter algorithm of weighted network
Disparity filter〔 . 〕 is a network reduction algorithm to extract the backbone structure of undirected weighted network. Many real world networks such as citation networks, food web, airport networks display heavy tailed statistical distribution of nodes' weight and strength. Disparity filter can sufficiently reduce the network without destroying the multi-scale nature of the network. The algorithm is developed by M. Angeles Serrano, Marian Boguna and Alessandro Vespignani. ==Overview of other network reduction algorithms and their limitations==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Disparity filter algorithm of weighted network」の詳細全文を読む
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