基于社会网络分析的在线医疗社区用户交互行为研究

发布时间：2018-06-19 10:37

本文选题：社会网络分析 + 百度贴吧　；参考：《情报科学》2017年07期

【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。
[Abstract]:[objective / significance] to study the interactive networks and behaviors of users in the online medical community, It is expected to make suggestions on community development issues such as improving the activity of online medical communities and the efficiency of information dissemination. [methods / processes] choose Baidu Tieba "tumor Bar" as the research platform to construct user interactive networks. The social network analysis method is used to calculate and analyze the overall structure, evolution trend and individual network centrality of the network. Linear regression method was used to analyze the effect of user's individual network attribute on other user's interaction behavior. [results / conclusion] it was found that the community had obvious small-world effect, and the communication efficiency of information in the community was higher. However, there are some defects such as low network density, less core members, unbalanced information exchange and so on. The results of regression analysis showed that the behavior of the core members in the community had a significant impact on the interaction behavior of other users, and maintaining and increasing the number of such members was conducive to enhancing the activity of the online medical community.
【作者单位】：武汉大学信息管理学院;
【基金】：国家自然科学基金面上项目(71573197;71373194)
【分类号】：G206;R-05

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