基于社交网络的《梨俱吠陀》篇章年代学分析
Chronological Analysis of Rigvedic Mandalas using Social Networks
AI总结：
本研究针对《梨俱吠陀》十篇独立篇章的内部年代排序问题，采用基于余弦相似度的聚类技术做文本分析，结合网格型社交网络呈现神祇与篇章关联并分析河流记载，为吠陀年代学研究提供新方法与线索。
摘要：
过去两个世纪以来，确立吠陀经的年代顺序一直是学者们的研究兴趣所在。其中最古老的是《梨俱吠陀》，它包含十篇篇章（Mandalas），每篇均独立创作。本文通过聚焦不同篇章中崇拜的男神与女神，探究解读篇章内部年代顺序的合理线索。我们采用基于余弦相似度的聚类技术（Clustering Techniques）对篇章进行文本分析。随后，我们使用适用于年代学分析的网格型社交网络（Social Network）呈现神祇与篇章的关联，论证了将社交网络分析用于当前问题的优势。此外，我们通过分析河流相关记载得出了额外的相关性结论。所采用的方法可推广应用于分析其他类型的参考文献与提及内容，以得出更具实质性的推论。
英文摘要：
Establishing the chronology of the Vedas has interested scholars for the last two centuries. The oldest among them is Rig-Veda which has ten Mandalas, each composed separately. In this paper, we look at deciphering plausible pointers to the internal chronology of the Mandalas, by focusing on Gods and Goddesses worshiped in different Mandalas. We apply text analysis to the Mandalas using Clustering Techniques based on Cosine Similarity. Then we represent the association of deities with Mandalas using a grid-based Social Network that is amenable to chronological analysis and demonstrates the benefits of using Social Network Analysis for the problem at hand. Further, we analyze references to rivers to arrive at additional correlations. The approach used can be deployed generically to analyze other kinds of references and mentions and arrive at more substantive inferences.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
