摘要: Bonacich centrality measures the number of attenuated paths between nodes in a network. We use this metric to study network structure, specifically, rank and find community structure To end we extend modularity-maximization method for detection as measure node connectivity. contains tunable parameter that sets length scale interactions. By studying how rankings discovered communities change when is varied allows us identify globally important structures. apply proposed several benchmark networks show it leads better insight into than earlier methods.
arxiv.org
harvard.edu
isi.edu 参考文章(2)
Diederich Hinrichsen, Anthony J. Pritchard, Mathematical Systems Theory I ,(2008)
Ian Witten, Data Mining ,(2008)