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Identifying Lead Players of User Innovation Communities Based on Feature Extraction and Random Forest Classification |
Yuan Xinwei(), Yang Shaohua, Wang Chaochao, Du Zhanhe |
School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China |
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Abstract [Objective] This paper aims to identify the lead players of user innovation communities to promote the open innovation for enterprises. [Methods] First, we extracted features of the users from related content and behavior data of the innovation community. Then, we proposed a method to idenfity the lead users based on Random Forest classification model. Finally, we examine our new method with real data from the MIUI forum of Xiaomi community. [Results] The proposed method could identify the lead and non-lead users. [Limitations] Only examined our method with the MIUI forum, therefore, adjustments were needed to use it for other user innovation communities. [Conclusions] The proposed method could identify lead users from various online communities more efficiently and effectively.
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Received: 14 July 2017
Published: 27 November 2017
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