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The Journal of Mathematical Sociology Volume 41, 2017 - Issue 3
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Aggregating nonnegative eigenvectors of the adjacency matrix as a measure of centrality for a directed graph

Neng-Pin LuDepartment of Information Management, Chang Gung University, Kwei-Shan, Tao-Yuan, TaiwanCorrespondence[email protected]
Pages 139-154 | Received 20 Oct 2016, Accepted 07 May 2017, Published online: 07 Jun 2017

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Read on this site (3)

Neng-Pin Lu. (2022) A measure of centrality based on a reciprocally perturbed Markov chainfor asymmetric relations. The Journal of Mathematical Sociology 46:3, pages 246-265.
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Neng-Pin Lu. (2021) A hierarchical walk-based measure of centrality based on reachability between strongly connected components in a digraph. The Journal of Mathematical Sociology 45:1, pages 51-64.
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Neng-Pin Lu. (2019) Using principal eigenvectors of adjacency matrices with added diagonal weights to compose centrality measures and identify bowtie structures for a digraph. The Journal of Mathematical Sociology 43:3, pages 164-178.
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Articles from other publishers (1)

Lidong Fu & Ruifeng Ma. (2021) Community Detection Algorithm Based on Network Feature Vector Space. Community Detection Algorithm Based on Network Feature Vector Space.

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