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Determining the critical thresholds for co-word network based on the theory of percolation transition: A case study in Buddhist studies

Muh-Chyun Tang (Department of Library and Information Science, National Taiwan University, Taipei, Taiwan)
Weijen Teng (Department of Buddhist Studies, Dharma Drum Institute of Liberal Arts, Taipei, Taiwan)
Miaohua Lin (Department of Library and Information Science, National Taiwan University, Taipei, Taiwan)

Journal of Documentation

ISSN: 0022-0418

Article publication date: 19 December 2019

Issue publication date: 11 February 2020

346

Abstract

Purpose

One of the chief purposes of bibliometric analysis is to reveal the intellectual structure of a knowledge domain. Yet due to the magnitude and the heterogeneous nature of bibliometric networks, some sorts of filtering procedures are often required to make the resulting network interpretable. A co-word analysis of more than 135,000 scholarly publications on Buddhism was conducted to compare the intellectual structure of Buddhist studies in three language communities, Chinese, English and Japanese, over two periods (1957–1986 and 1987–2016). Six co-word similarity networks were created so social network analysis-based community-detection algorithm can be identified to compare major research themes in different languages and eras. The paper aims to discuss this issue.

Design/methodology/approach

A series of filtering procedures was performed to exclude less discriminatory keywords and spurious relationships of a large, cross-language co-word network in Buddhist studies. Chief among the filtering heuristics was a percolation-transition based method to determine the similarity threshold that involves observing the relative decrease of nodes in the giant component with the increasing similarity threshold.

Findings

It was found that the topical patterns in the Chinese and Japanese scholarship of Buddhism are alike and observably distinct from that of the English scholarship. Furthermore, a far more drastic changes of research themes were observed in the English literature relative to the Chinese and Japanese literature.

Originality/value

The filtering procedures were shown to greatly enhance the modularity values and limited the number of modularity classes; thus, domain expert interpretation is feasible.

Keywords

Citation

Tang, M.-C., Teng, W. and Lin, M. (2020), "Determining the critical thresholds for co-word network based on the theory of percolation transition: A case study in Buddhist studies", Journal of Documentation, Vol. 76 No. 2, pp. 462-483. https://doi.org/10.1108/JD-06-2019-0117

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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