基于社会化媒体数据的学术社区知识共享行为影响因素研究——以经管之家平台为例

Research on Influencing Factors of Knowledge Sharing Behavior in Academic Communities Based on Social Media Data ——A Case Study of“Jingguanzhijia”Platform

[目的/意义]通过对知识共享影响因素的分析,学术虚拟社区平台可以有针对性地提升老用户活跃度与留存率,在此基础上进一步吸引新用户。[方法/过程]本文以“经管之家(原人大经济论坛)”为研究平台,使用Python语言抓取该平台下40000条有效用户数据,构建学术虚拟社区知识共享行为影响因素的研究框架,并采用更为科学合理的分位数回归对研究模型进行验证。[结果/结论]研究结果表明:用户访问量、论坛币、活跃度以及好友数量对知识共享数量有正向的显著影响,而是否邮箱认证、论坛币、活跃度以及好友数量对知识共享质量具有显著的正向影响。学术虚拟社区管理者通过强化这些显著正向因素对社区平台的可持续发展具有重要意义。

[Purpose/Meaning]By the analysis of influencing factors of knowledge sharing behavior,academic virtual community can specifically improve the activity and retention rate of old users and further attract new users.[Method/Process]Based on the research platform of“Jingguanzhijia(formerly known as BBS of NPC economy)”,this paper used python language to capture 40000 pieces of valid user data under the platform,constructed a research framework of influencing factors of knowledge sharing behavior in academic virtual community,and used more scientific and reasonable quantile regression to verify the research model.[Result/Conclusion]The research results showed that user visited,BBS currency,activity and number of friends had a significant positive impact on the number of knowledge sharing,while whether email authentication,BBS currency,activity and number of friends had a significant positive impact on the quality of knowledge sharing.It is significant for academic virtual community managers to strengthen that sustainable development of community platform by strengthening these significant positive factors.