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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Random walk closeness centrality ： ウィキペディア英語版 Random walk closeness centrality Random walk closeness centrality is a measure of centrality in a network, which describes the average speed with which randomly walking processes reach a node from other nodes of the network. The concept was first proposed by Noh and Rieger (2004).〔J.-D. Noh and H. Rieger. Random walks on complex networks. Phys. Rev. Lett. 92, 118701 ()〕 == Intuition == Consider a network with a finite number of nodes and a random walk process that starts in a certain node and proceeds from node to node along the edges. From each node, it chooses randomly the edge to be followed. In an unweighted network, the probability of choosing a certain edge is equal across all available edges, while in a weighted network it is proportional to the edge weights. A node is considered to be close to other nodes, if the random walk process initiated from any node of the network arrives to this particular node in relatively few steps on average. 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「Random walk closeness centrality」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.