摘要
【目的/意义】研究在线医疗社区用户的交互网络和行为,期望对提升在线医疗社区活跃度和信息传播效率等社区发展问题提出建议。【方法/过程】选择百度贴吧"肿瘤吧"为研究平台,构造用户交互网络,采用社会网络分析方法对网络的整体结构、演变趋势和个体网中心性等进行计算分析,并使用线性回归方法分析用户个体网属性对其他用户交互行为的影响。【结果/结论】研究发现,该社区具有明显的小世界效应,信息在社区中传播效率较高,但存在网络密度低、核心成员较少、信息交换不平衡等缺陷。回归分析结果显示,社区中核心成员的行为对其他用户的交互行为有显著影响,保持并增加此类成员的数量有利于提升在线医疗社区的活跃度。
[ Purpose/significance ] This paper investigates the user＇s interactive network and behavior in online health com- munity. It is expected to put forward suggestions for the community development issues like improving the activity and the information dissemination efficiency of the online health community. [Method/progress] This study takes Baidu Post Bar ＂Tumor Bar＂ as the research platform, constructs user interaction network, calculates and analyzes the overall structure of networks, evolution trend and centrality of individual networks by using the social network analysis method, and uses the linear regression method to study the influence of the user＇s individual network attributes on other users＇ interaction behav- ior. [Result/conclusion] The analysis demonstrates that the community not only had an obvious small-world effect which means the information dissemination efficiency is higher in this community, but also had some defects like low network den- sity of networks, too few core members and unbalanced information exchange. The results of regression analysis further shows that the influence of core members＇ behaviors in the community on other users＂ interaction behavior is significant, and to maintain and increase the number of such members is conducive to enhance the activity of the online health commu- nity.
出处
《情报科学》
CSSCI
北大核心
2017年第7期120-125,共6页
Information Science
基金
国家自然科学基金面上项目(71573197
71373194)
关键词
社会网络分析
百度贴吧
在线医疗
用户交互行为
信息传播
social network analysis
Baidu post bar
online medical
user interaction behavior
information diffusion
