Topic Detection Based on Weak Tie Analysis： A Case Study of LIS Research

• 作者: Chao Wang Haiyun Xu Kun Dong Ling Wei Shu Fang Zhenmeng Wang
• 来源期刊: 数据与情报科学学报：英文版
• 学科: 社会科学
• 关键词: 数据 情报科学
• 年，卷（期）: 2016,（4）
• 页码范围: 81-101
• 页数: 21页
• 分类号: G2

摘要

Purpose： Based on the weak tie theory, this paper proposes a series of connection indicatorsof weak tie subnets and weak tie nodes to detect research topics, recognize their connections,and understand their evolution.Design/methodology/approach： First, keywords are extracted from article titles and pre-processed. Second, high-frequency keywords are selected to generate weak tie co-occurrencenetworks. By removing the internal lines of clustered sub-topic networks, we focus on theanalysis of weak tie subnets＇ composition and functions and the weak tie nodes＇ roles.