Exploring a New Methodology for Studying Korean Ancient History Using Network Analysis: Focusing on negotiation data from the Eastern Jin and Sixteen Kingdoms to the Song and Northern Wei period

IF 0.2 Q2 HISTORY
D. Lim
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引用次数: 0

Abstract

Network analysis is a methodology that helps understand complex phenomena by visualizing member interactions. In the context of Eastern Jin, Sixteen Kingdoms, Song, Northern Wei period, network analysis can shed light on the position of Paekche and Koguryŏ by analyzing negotiation networks. While existing studies have focused on negotiations between these states and China, few have visualized the entire negotiation network or compared the positions of Paekche and Koguryŏ within the broader East Asian network. This paper explores the network analysis methodology for ancient East Asian negotiation data and conducts a pilot analysis of specific periods.The methodology for applying network analysis to ancient history involves several steps, including evaluating its suitability, quantifying the data, verifying data reliability, and analyzing and visualizing the data. Limitations of using network analysis to study ancient history include obtaining sufficient data and verifying data reliability. Ancient East Asian negotiation data is relatively more abundant than other records, making it a good candidate for network analysis. However, because negotiation data is recorded from the perspective of various actors, it is essential to verify the reliability of the data by ancient history researchers.This paper theoretically analyzes the negotiation data of the Eastern Jin, Sixteen Kingdoms, Song, and Northern Wei periods. The negotiation network analysis reveals that Eastern Jin is the most centralized country, with Koguryŏ actively engaging in negotiations and Paekche focusing on diplomacy with Eastern Jin. The centrality analysis on the negotiation frequency data during Song and Northern Wei period shows that the Song and Northern Wei had the highest centrality in negotiation frequency among 28 countries, with Koguryŏ, Tuyuhun, and Paekche also prominent. The negotiation route analysis reveals the flow of information, with the Song having the highest betweenness centrality, Koguryŏ serving as a conduit to Shilla, and Paekche controlling the route to Mahan, Kaya, and Wa. Paekche plays a crucial role as a conduit between various regions, despite having lower centrality than Koguryŏ.In conclusion, this paper explored the methodology of applying network analysis to ancient East Asian negotiation data and attempted to understand the structural structure of ancient East Asian negotiation networks by analyzing negotiation data from a specific time period.
用网络分析法探索朝鲜古代史研究的新方法——以东晋十六国至宋北魏时期的谈判资料为例
网络分析是一种通过可视化成员交互来帮助理解复杂现象的方法。在东晋、十六国、宋、北魏时期,网络分析可以通过对谈判网络的分析来揭示巴可切和高句丽的地位。虽然现有的研究集中在这些国家与中国之间的谈判上,但很少有人对整个谈判网络进行可视化,也很少有人在更广泛的东亚网络中比较帕克切和高句丽的立场。本文探索了古代东亚谈判数据的网络分析方法,并对特定时期进行了初步分析。将网络分析应用于古代历史的方法包括几个步骤,包括评估其适用性、量化数据、验证数据可靠性以及分析和可视化数据。使用网络分析研究古代历史的局限性包括获得足够的数据和验证数据的可靠性。与其他记录相比,古代东亚谈判数据相对丰富,是网络分析的一个很好的候选者。然而,由于谈判数据是从各个参与者的角度记录的,因此古代史研究人员验证数据的可靠性至关重要。本文从理论上分析了东晋、十六国、宋、北魏时期的谈判资料。谈判网络分析表明,东晋是最集中的国家,高句丽积极参与谈判,白切则注重与东晋的外交。对宋北魏时期谈判频率数据的中心性分析表明,在28个国家中,宋北魏谈判频率的中心性最高,高句丽、吐谷浑、白头翁等国的谈判频率也较为突出。谈判路线分析揭示了信息的流动,其中宋具有最高的介数中心性,高句丽是通往希拉的通道,而帕克切控制着通往马汉、卡亚和佤邦的路线。摘要本文探讨了将网络分析应用于古代东亚谈判数据的方法,并试图通过分析特定时期的谈判数据来理解古代东亚谈判网络的结构结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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