%A Hongqinling Wang,Zhichao Ba,Gang Li %T Conversational Topic Intensity Calculation and Evolution Analysis of WeChat Group %0 Journal Article %D 2019 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2018.0552 %P 33-42 %V 3 %N 2 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4613.shtml} %8 2019-02-25 %X

[Objective] This paper aims to study the characteristics of WeChat user interaction and information dissemination by exploring the topic structure and evolution characteristics within the actual WeChat group. [Methods] Taking three typical WeChat group conversation samples as research objects, we introduce the conversation analysis theory in linguistics, and analyze the phenomenon and characteristics of the WeChat group conversation, and design the topic intensity calculation model based on the activeness of membership, the intensity of communication and turn density, and further explore the topic structure characteristics and evolution rules in different types of WeChat groups. [Results] The linguistic phenomena of WeChat group conversations and daily conversations have the sameness and difference. The inclusion of the turn-taking into the topic intensity calculation model has obvious advantages over the number of messages. Different types of WeChat groups respectively own their topic evolution rules. [Limitations] The richness of WeChat group type can be increased. [Conclusions] This study is conducive to grasp the development law of topics in the WeChat group, and is of great significance to the monitoring of Internet public opinion and disaster prevention.