基于社团结构发现的知识网络主题识别研究
关键字 复杂网络 社团结构 知识网络 主题识别 聚类
毕业论文外文摘要
Title Identification of topics for knowledge network based on community structure found
Abstract
In this paper, the structure of complex networks of community recognition algorithm to identify thematic knowledge networks.Understand the community structure of the system discovery, analysis of indicators and methods to master knowledge networking topics identified.Select a representative Knowledge Network,based on the basic theories and research methods community structures,on the subject of knowledge networks to identify, and explain the key elements of the theme, as important authors, important key words to identify.By Citespace analysis tools to identify and visualize their subject,studies show the status of knowledge networks, focusing on themes and trends.In this paper, the field of library and information as the research object,in the Web of the 2008-2012 crawl on science library and information field associated with the seven journals published papers as research data,build networks and co-author co-citation network and citation network, and as a knowledge network of representatives.Through the theme of knowledge networks to identify the deeper study, the relationship between the horizontal or vertical analysis of the development of the field of library and information, features, and network with other areas of knowledge, to reflect the level of scientific research and development in the field of history dynamic and static structure, relationships between basic research and technical studies, etc., in order to reveal the dynamic field of library and information about evolutionary relationships and trends provide the basis and prerequisite conditions.
Keywords Complex networks Community structure Knowledge Network
Topic Identification Clustering
目录
1 引言 1
1.1 研究背景 1
1.2 研究内容 2
2 复杂网络的社团结构 3
2.1 复杂网络 3
2.1.1 复杂网络的定义 3
2.1.2 复杂网络的特征 4
2.2 社团结构的定义 5
2.3 社团结构算法的分类 6
2.4 社团结构的谱聚类算法 7
3 知识网络主题识别 9
3.1 知识网络 9
3.1.1 知识网络概述 9