在线健康社区中基于用户属性的时序交互模式研究

吴冰; 彭彧

doi:10.13266/j.issn.2095-5472.2019.017

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知识管理论坛 ›› 2019, Vol. 4 ›› Issue (3) : 163-172. DOI: 10.13266/j.issn.2095-5472.2019.017

学术探索

在线健康社区中基于用户属性的时序交互模式研究

吴冰 ,
彭彧

作者信息 +

Research on the Temporal Interactive Mode Based on User Attributes in Online Health Community

Wu Bing ,
Peng Yu

Author information +

文章历史 +

摘要

[目的/意义] 在线健康社区迅速发展，但缺乏结合网络结点属性与网络结构的动态网络特征的研究，因而难以揭示基于结点属性的用户动态交互模式的形成机理。[方法/过程] 应用基于节点属性的时序指数随机图模型，以在线健康社区为研究对象，结合用户节点属性特征，包括用户发文情感倾向、用户发文文本长度和用户社区等级，构建在线健康社区的用户时序交互模式研究模型，从百度贴吧的糖尿病吧抓取2016年10月至2018年2月期间2 301个有效用户，6 045条主帖和9 490条回复，实证用户时序交互模式特征。[结果/结论] 用户属性特征对互惠性时序模式、k-star时序模式、传递性时序模式和循环性时序模式形成有显著影响，并由此为在线健康社区建设提出发展建议。

Abstract

[Purpose/significance] Online health community has been developing rapidly, but it is difficult to reveal the inherent mechanism between network node attribute and user dynamic interaction mode, with the lack of research on node attribute-based dynamic networks. [Method/process] This paper constructed the research model for users temporal interactive mode of online health community by applying NATERGM（Node Attribute-based Temporal Exponential Random Graph Model）, taking the online health community as research object, and combining with the feature of the user node properties that including users emotional tendency, the post text and the user community level. Then, data from Baidu Diabetes community from October 2016 to February 2018, which involves 2301 users, 6045 posts and 9490 replies, was used for empirical research. [Results/conclusion] Results indicate that the validity of NATERGM in analyzing temporal interactive mode, and node attributes have significant effects on reciprocity temporal mode, k-star temporal mode, transitivity temporal mode and cyclicity temporal mode. Consequently, suggestions for the development of online healthy community construction are put forward.

导出引用

吴冰 , 彭彧. 在线健康社区中基于用户属性的时序交互模式研究[J]. 知识管理论坛. 2019, 4(3): 163-172 https://doi.org/10.13266/j.issn.2095-5472.2019.017

Wu Bing , Peng Yu. Research on the Temporal Interactive Mode Based on User Attributes in Online Health Community[J]. Knowledge Management Forum. 2019, 4(3): 163-172 https://doi.org/10.13266/j.issn.2095-5472.2019.017

中图分类号： C912

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