Research on The Influence of User Interaction on Implicit Communities in Open Innovation Platforms

Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

Ji Haiying Qi Guijie Li Na

Abstract： [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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