[目的/意义] 基于关注和评论两种类型的交互网络及它们的组合网络,研究开放式创新平台用户交互对隐性社区的影响。[方法/过程] 收集LEGO IDEAS平台中半年的用户交互数据,运用拓扑分析、中心性分析、社区分析,借助Gephi软件分别针对关注、评论和组合关系构建3期网络关系图并进行演化分析。[结果/结论] 3种交互网络都具有无标度网络特性,少数用户涉及大量的交互。组合网络更接近开放式创新平台的真实网络结构。“评论”对隐性社区的形成及创新参与更重要。随着时间的增长,隐性社区节点数和连接数呈现递增趋势,新的节点更倾向于与那些具有较高连接度的中心节点相连接,信息传播效率越来越高。组合网隐性社区中,基于“评论”关系的子群随着时间推移更新迭代较快,而基于“关注”关系的子群相对稳定且持久。
[Purpose/significance] From interactive networks and their combined networks based on the two types of attention and comments, this paper investigates the influence of user interaction on implicit communities in open innovation platforms. [Method/process] This study collected the half-year user interaction data in the LEGO IDEAS platform, used topology analysis, centrality analysis and community analysis, and then used Gephi to construct three-phase network relationship diagrams and analyze the evolution for the concerns, comments and combination relationships. [Result/conclusion] This paper demonstrates that the three types of interactive networks all have the scale-free network characteristics, where a small number of users are involved in a large number of interactions. The combined network is closer to the real network structure of the open innovation platform. Comments are more important for the formation of implicit communities and innovation participation. With the growth of time, the number of nodes and connections in implicit communities shows an increasing trend. New nodes tend to be connected with hub nodes with higher connectivity, and the information transmission efficiency is getting higher and higher. In the implicit community of the combined network, the subgroups based on comment relationships update and iterate faster over time, while the subgroups based on follow relationships are relatively stable and lasting.
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