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http://dx.doi.org/10.5392/JKCA.2022.22.06.024

Analysis of the World Religions Based on Network  

Kim, Hak Yong (충북대학교 생화학과)
Publication Information
The Journal of the Korea Contents Association / v.22, no.6, 2022 , pp. 24-34 More about this Journal
Abstract
Viewing religion as contents, we analyzed the network structure by creating networks on 13 world religions. The whole network was constructed by combining 13 religions, and it showed the characteristics of a scale-free network as a general social network. The world religion network had a very small value of clustering coefficient, unlike the general social network. This seems to be the result of the diversity of terms that describe religion. The core network was constructed by applying K-core algorithm used to create the core network to the whole network. When k-3 was applied, it was too complicated but when k-4 was applied, it was too simple to obtain meaningful results. It indicates that it difficult to apply the K-core algorithm to a network containing a low clustering coefficient. Therefore, core networks were constructed according to the number of key words centered on the hub node to analyze the characteristics of world religions. In addition, meaningful information was derived by constructing the world's five major religious networks and East Asian religious networks. In this study, various information was obtained by analyzing world religions as contents. It was also presented a method of creating and analyzing a core network based on key words for networks with a low clustering coefficient.
Keywords
World Religion; Network; K-Core Algorithm; Key Word; Contents;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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