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Resistance-distance betweenness: Definition, properties, and application in complex linguistic networks

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  • Yang, Yi
  • Song, Yue

Abstract

Betweenness centrality measures how a node lies on the paths between other nodes. We propose the so-called resistance-distance betweenness (RDB) which takes a new viewpoint on scoring paths and contribution of each node in the paths. This new betweenness is developed based on the two facts: (1) the resistance distance characterizes the aggregate distance between two nodes in the context of electrical networks; (2) the resistance distance has an edge-wise decomposition form. Thus, the RDB of a node is defined as the sum of resistance distance components associated with the node’s incident edges, which measures how a node lies on the “aggregated path” between other nodes. The basic properties of RDB and its relation and difference from current-flow betweenness (CFB) are investigated. Then, we apply the RDB to the study of an open question in linguistic networks, i.e., to check whether the Yuan poems written by Han and non-Han poets are similar. We also compare the performance of RDB with CFB. The betweenness analysis of the character co-occurrence networks of Han’s and non-Han’s poems provides a fresh and quantitative perspective to support that Han’s and non-Han’s poems are similar in general.

Suggested Citation

  • Yang, Yi & Song, Yue, 2023. "Resistance-distance betweenness: Definition, properties, and application in complex linguistic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    • Handle: RePEc:eee:phsmap:v:610:y:2023:i:c:s0378437122009669
    DOI: 10.1016/j.physa.2022.128408
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    References listed on IDEAS

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    1. Wang, Kai & Zhang, Bu-han & Zhang, Zhe & Yin, Xiang-gen & Wang, Bo, 2011. "An electrical betweenness approach for vulnerability assessment of power grids considering the capacity of generators and load," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4692-4701.
    2. Ranzivelle Marianne Roxas-Villanueva & Maelori Krista Nambatac & Giovanni Tapang, 2012. "Characterizing English Poetic Style Using Complex Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-7.
    3. Zhou, Shuigeng & Hu, Guobiao & Zhang, Zhongzhi & Guan, Jihong, 2008. "An empirical study of Chinese language networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 3039-3047.
    4. Estrada, Ernesto & Higham, Desmond J. & Hatano, Naomichi, 2009. "Communicability betweenness in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(5), pages 764-774.
    5. Liang, Wei & Wang, Yanli & Shi, Yuming & Chen, Guanrong, 2015. "Co-occurrence network analysis of Chinese and English poems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 315-323.
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