An Analysis of Xi Feng Parties in the Northern Song Dynasty through Complex Network Algorithms

Abstract

In this paper, we mainly use several methods of machine learning. These methods were previously used on social networks to model and analyze the social relations, between Xifeng Parties in the Northern Song Dynasty. To our best knowledge, no one has ever made a combination of big data analysis, social network theory and the history of factional conflict in the Northern Song Dynasty. The attempt we made is an innovation of involving the intersection of natural sciences, social sciences and the humanities. We use BFS on CBDB with constraints to establish a network of people, which can be regarded as a weighted directed multi-graph. We simplify the graph into a weighted digraph and use pagerank algorithm to obtain the influence table, the political influence table and the positive political influence table by using different weighting methods. By analyzing the data obtained from the algorithm, we confirm several conclusions about the new and old parties in the study of Song history.