在线健康社区用户知识共享与隐藏行为的演化博弈研究

Evolution of Users’Knowledge Sharing and Hiding Behaviors in Online Health Community

【目的】研究健康用户知识共享与隐藏的决策规律,以提升用户整体健康知识水平。【方法】对潜水者、共享者决策知识共享与隐藏行为的过程构建演化博弈模型,采集知乎平台中乳腺癌话题数据对模型参数赋值,通过Matlab进行数值实验,探讨各参数变化对结果的影响。【结果】健康用户从知识隐藏向知识共享转化的过程受知识创新收益、情感收益、社区奖励的正向影响和隐私风险、编码成本的负向影响,且两类用户对不同因素的敏感性不同。【局限】未能设置非线性效用函数,人工标注数据可能存在误差。【结论】从影响决策的因素入手,为社区推动用户从知识隐藏转向知识共享提供管理启示。

[Objective]This paper studies the decision-making rules for knowledge sharing and hiding among users of online health communities.It tries to improve the users’overall health knowledge levels.[Methods]First,we constructed an evolutionary game model for the decision-making mechanism of lurkers and sharers’knowledge-sharing and hiding behaviors.Then,we retrieved data on breast cancer topics from the Zhihu platform to assign model parameters.Finally,we conducted numerical experiments with Matlab to explore the impacts of parameter changes.[Results]The transformation of users from knowledge hiding to sharing was positively affected by the benefits of knowledge innovation,emotion,and community rewards.Privacy risks and coding costs posed negative impacts on user behaviors.The two user groups had different sensitivity levels to the factors.[Limitations]We did not set a nonlinear utility function;manually labeling data may yield errors.[Conclusions]This paper could help the online health community transform users from knowledge hiding to sharing.