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Literature review | Open Access

Literature review on collective intelligence: a crowd science perspective

Chao Yu, Yueting Chai( ), Yi Liu
National Engineering Laboratory for E-commerce Technologies, Tsinghua University, Beijing, China
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Abstract

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.

Keywords

Open innovationCollective intelligenceCrowd scienceGroup wisdom

References

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International Journal of Crowd Science
Volume 2 Issue 1,
July 2018
Pages 64-73
DOI: 10.1108/IJCS-08-2017-0013

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Cite this article:
Yu C, Chai Y, Liu Y. Literature review on collective intelligence: a crowd science perspective. International Journal of Crowd Science, 2018, 2(1): 64-73. https://doi.org/10.1108/IJCS-08-2017-0013

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Received: 13 August 2017
Revised: 25 August 2017
Accepted: 26 August 2017
Published: 11 April 2018
©2018 International Journal of Crowd Science

Chao Yu, Yueting Chai and Yi Liu. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode