Abstract
Fuzzy centrality analysis is one of the most important and commonly used tools in fuzzy social network. This is a measurement concept concerning an actor’s central position in the fuzzy social network, and it reflects the different positions and advantages between social network actors. In this paper we extend the notion of centrality and centralization to the fuzzy framework, propose fuzzy inversely attenuation closeness centrality, and discussed fuzzy group closeness centralization based on inversely attenuation factor in fuzzy social networks.
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Acknowledgments
Thanks to the support by National Natural Science Foundation of China (No. 71173051), Eleventh Five-Year Plan project of Philosophy and Social Sciences, Guangdong Province (No. GD10CGL07), and High-tech Zone development guide special projects of Guangdong Province.
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Hu, Rj., Zhang, Gy., Liao, Lp. (2014). The Closeness Centrality Analysis of Fuzzy Social Network Based on Inversely Attenuation Factor. In: Cao, BY., Nasseri, H. (eds) Fuzzy Information & Engineering and Operations Research & Management. Advances in Intelligent Systems and Computing, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38667-1_46
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DOI: https://doi.org/10.1007/978-3-642-38667-1_46
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