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Purpose Collective intelligence has drawn many scientists’ attention in many centuries. This paper shows the collective intelligence study process in a perspective of crowd science. Design/methodology/approach After summarizing the time-order process of related researches, different points of views on collective intelligence’s measurement and their modeling methods were outlined. Findings The authors show the recent research focusing on collective intelligence optimization. The studies on application of collective intelligence and its future potential are also discussed. Originality/value This paper will help researchers in crowd science have a better picture of this highly related frontier interdiscipline.
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Yu et al. (2018) studied this question.
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