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International Journal of Crowd Science 2018, 2(1): 64-73 https://doi.org/10.1108/IJCS-08-2017-0013
Literature review | Open Access | Issue | Published: 11 April 2018

Literature review on collective intelligence: a crowd science perspective

Show Author's Information Chao Yu,  Yueting Chai( ),  Yi Liu
National Engineering Laboratory for E-commerce Technologies, Tsinghua University, Beijing, China
Keywords:
Open innovation, Collective intelligence, Crowd science, Group wisdom
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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Abstract Full text About this article
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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Abstract
Full text
Outline
About this article

Literature review on collective intelligence: a crowd science perspective

Show Author's information Chao Yu, Yueting Chai( ), Yi Liu
National Engineering Laboratory for E-commerce Technologies, Tsinghua University, Beijing, China

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 innovation, Collective intelligence, Crowd science, Group wisdom

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Publication history
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Publication history

Received: 13 August 2017
Revised: 25 August 2017
Accepted: 26 August 2017
Published: 11 April 2018
Issue date: July 2018

Copyright

©2018 International Journal of Crowd Science

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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

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