多维属性融合视角下的在线健康社区关键用户识别研究  

Key User Identification of Online Health Community Based on Multi-Dimensional Attribute Fusion

作　　者：张军[1] 李新旺 李鹏[1] ZHANG Jun;LI Xin-wang;LI Peng(School of Management,Shandong University of Technology,Zibo 255012,China)

机构地区：[1]山东理工大学管理学院,山东淄博255012

出　　处：《情报科学》2022年第3期82-90,共9页Information Science

基　　金：国家自然科学基金项目“社交媒体上观点、信息和行为的耦合动力学机制研究”(G71801145);山东省社科规划基金项目“新旧动能视域下在线科普信息传播机制及效果评价研究”(20CGLJ22)。

摘　　要：【目的/意义】在线健康社区已成为公众获取医疗信息和服务的重要形式。识别在线健康社区关键用户及其特征,为提升健康社区服务质量和效率提供理论依据。【方法/过程】基于信息行为学理论构建了包括交互行为属性、信息质量属性、情感倾向属性的多维分析框架,利用AttriRank算法和网络抗毁性评估方法识别在线健康社区关键用户。【结果/结论】在胆系癌症疾病QQ群中识别出15个关键用户。他们不仅具有高活跃性和高互惠度的交互行为特征,还具备多样性水平高且结构均衡的信息质量特征,且多数持有正向情绪倾向。"行为+内容+情绪"的分析框架和考虑属性的用户排序算法能准确识别在线健康社区关键用户,为在线健康社区的持续运营供了科学的决策支持。【创新/局限】构建多维属性分析框架进行在线健康社区关键用户识别,丰富了在线健康社区关键用户识别的理论体系。【Purpose/significance】Online health community has become an important form for the public to obtain medical information and services.This paper explores the identification of key users and their characteristics in online health community,with a view to provide theoretical basis for improving the quality and efficiency of health community service.【Method/process】Based on the information behavior theory.a multi-dimensional analysis framework was constructed.including interactive behavior attributes,information quality attributes and emotional tendency attributes.AttriRank algorithm and network invulnerability evaluation method were used to identify key users of online health community.【Result/conclusion】The results showed that 15 key users were identified in the QQ group of biliary cancer diseases and they not only have the characteristics of high activity and reciprocity.but also have the characteristics of high diversity and balanced information quality.and most of them have positive emotional tendencies.The analysis framework of "behavior +content + emotion" and the user ranking algorithm considering attributes can accurately identify the key users of the online health community.which provides scientific decision support for the sustainable operation of online health community.【Innovation/limitation】Build a multi-dimensional attribute analysis framework for online health community key user identification,which enriches the theoretical system of online health community key user identification.

关 键 词：在线健康社区 关键用户 属性融合 AttriRank算法 网络抗毁性评估 

分 类 号：G252.0[文化科学—图书馆学]