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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (11): 62-74    DOI: 10.11925/infotech.2096-3467.2017.0694
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Identifying Lead Players of User Innovation Communities Based on Feature Extraction and Random Forest Classification
Xinwei Yuan(),Shaohua Yang,Chaochao Wang,Zhanhe Du
School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China
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[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.

Key wordsUser Innovation Community      Lead User Identification      User Feature      Random Forest Classification     
Received: 14 July 2017      Published: 27 November 2017

Cite this article:

Xinwei Yuan,Shaohua Yang,Chaochao Wang,Zhanhe Du. Identifying Lead Players of User Innovation Communities Based on Feature Extraction and Random Forest Classification. Data Analysis and Knowledge Discovery, 2017, 1(11): 62-74.

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