社会网络分析
Social Network Analysis
This course introduces the conceptual foundations, data structures, core indicators, visualization methods, and empirical applications of social network analysis. It is designed for students who want to analyze collaboration networks, citation networks, knowledge networks, and organizational relations.
Course Introduction
社会网络分析关注的是“关系”而非单个主体本身。它可以帮助我们理解合作、引用、知识扩散、组织互动和技术关联中的结构模式。对于信息资源管理、图书情报学、创新研究和计算社会科学而言，社会网络分析不仅是一种可视化工具，更是一种解释社会结构、知识流动和资源配置方式的方法论。
This course emphasizes three abilities: constructing network data, calculating interpretable indicators, and connecting structural patterns with research questions.
Course Directory
Click a section to open the Markdown-based teaching document.
Network Thinking and Data Structures
Understand what a network is, how to define nodes and edges, and how relational data differ from attribute data.
Centrality, Cohesion, and Community
Learn how to use network indicators to describe structural importance, clustering, and subgroup formation.
Research Applications and Interpretation
Connect network analysis with empirical research questions in innovation, science studies, and information behavior.