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Unnormalized and normalized forms of gefura measures in directed and undirected networks 被引量:6
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作者 Raf GUNS Ronald ROUSSEAU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2015年第4期311-320,共10页
In some networks nodes belong to predefined groups (e.g., authors belong to institutions). Common network cen- trality measures do not take this structure into account. Gefura measures are designed as indicators of ... In some networks nodes belong to predefined groups (e.g., authors belong to institutions). Common network cen- trality measures do not take this structure into account. Gefura measures are designed as indicators of a node's brokerage role between such groups. They are defined as variants of betweeuness centrality and consider to what extent a node belongs to shortest paths between nodes from different groups. In this article we make the following new contributions to their study: (1) We systematically study unnormalized gefura measures and show that, next to the 'structural' normalization that has hitherto been applied, a 'basic' normalization procedure is possible. While the former normalizes at the level of groups, the latter normalizes at the level of nodes. (2) Treating undirected networks as equivalent to symmetric directed networks, we expand the definition of gefura measures to the directed case. (3) It is shown how Brandes' algorithm for betweenness centrality can be adjusted to cover these cases. 展开更多
关键词 Networks subdivided in groups PARTITIONS Gefura measures Q-measures Brokerage role Directed and undirectednetworks Brandes' algorithm
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Some results on strongly regular graphs from unions of cyclotomic classes
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作者 LI ChengJu YUE Qin HU LiQin 《Science China Mathematics》 SCIE 2012年第12期2613-2620,共8页
In this paper, we construct some families of strongly regular graphs on finite fields by using unions of cyclotomic classes and index 2 Gauss sums. New infinite families of strongly regular graphs are found.
关键词 strongly regular graphs restricted eigenvalues index 2 Gauss sum cycloyomic classes
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