An Integrated Model for User Innovation Knowledge Based on Super-network
Xiao Liao, Zhihong Li, Yunjiang Xi, Haibo Wang, Kenneth Zantow

TL;DR
This paper introduces a super-network model to integrate and analyze user innovation knowledge in online communities, enabling identification of key knowledge, users, and innovation trends.
Contribution
It presents a novel integrated super-network model (UIKSN) for mining and analyzing innovation knowledge and creative users in online communities.
Findings
Identified core innovation knowledge and users within the community
Captured innovation trends and popular innovations
Provided a framework for knowledge integration and analysis
Abstract
Online user innovation communities are becoming a promising source of user innovation knowledge and creative users. With the purpose of identifying valuable innovation knowledge and users, this study constructs an integrated super-network model, i.e., User Innovation Knowledge Super-Network (UIKSN), to integrate fragmented knowledge, knowledge fields, users and posts in an online community knowledge system. Based on the UIKSN, the core innovation knowledge, core innovation knowledge fields, core creative users, and the knowledge structure of individual users were identified specifically. The findings help capture the innovation trends of products, popular innovations and creative users, and makes contributions on mining, and integrating and analyzing innovation knowledge in community based innovation theory.
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Taxonomy
TopicsOpen Source Software Innovations · Knowledge Management and Sharing · Wikis in Education and Collaboration
