2. The Subtitle of the Journal: Historical Network Analysis in the Study of Chinese Religion.
3. Author Affiliation: University of California, USA.
關鍵詞
Buddhist literature; Abhidharma; textual reuse; citation network graph; citation network
摘要
Textual reuse is a fundamental characteristic of traditional Buddhist literature preserved in various languages. Given the sheer volume of preserved Buddhist literature and the often-unmarked instances of textual reuse, the thorough analysis and evaluation of this material without computational assistance are virtually impossible. This study investigates the application of computer-aided methods for detecting approximately similar passages within Xuanzang’s translation corpus and a selection of Abhidharma treatises preserved in Chinese translation. It presents visualizations of the generated network graphs and conducts a detailed examination of patterns of textual reuse among selected works within the Abhidharma tradition. This study demonstrates that the general picture of textual reuse within Xuanzang’s translation corpus and the selected Abhidharma texts, based on computational analysis, aligns well with established scholarship. Thus, it provides a robust foundation for conducting more detailed studies on individual text sets. The methods employed in this study to create and analyze citation network graphs can also be applied to other texts preserved in Chinese and, with some modifications, to texts in other languages.
目次
Abstract 1 Keywords 1 1. Introduction 1 Preliminary Remarks 2 2. Visualization of the Translation Canon of Xuanzang 2 3. Analysis of the Visualization 5 4. Maximum Spanning Tree Analysis of Selected Abhidharma Works 7 5. Visualization of the Relationships between Individual Sections of Selected Abhidharma Works 8 6. Conclusions 12 Funding 13 Data Availability Statement 13 Conflicts of Interest 13 Notes 13 References 14
