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Purpose

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

Design/methodology/approach

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

Findings

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Originality/value

Knowledge graph is used to implement the rim chain.


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Bridges the crowd: rim chain framework

Show Author's information Pengze Li1Ran Zhang1( )Lei Liu1Lizhen Cui1Qingzhong Li2Guangpeng Zhou1
Shandong University, Jinan, China
Compter Science Department, Shandong University, Jinan, China

Abstract

Purpose

Science of the Crowd is a new paradigm. The research on the relationship between provision and requirement arising from the behavior of the crowd under the interconnected environment is a promising topic. This paper aims at studying a new type of interconnected architecture.

Design/methodology/approach

This study is a pioneer work on the establishment of a new type of interconnected architecture – rim chain. The rim chain aims at supporting prompt matching between provision and requirements.

Findings

The analytical results suggest that requirements can be fulfilled in accordance with six degrees of separation. In other words, the matching between the requirements and provision takes place with six hops in the rim chain framework.

Originality/value

Knowledge graph is used to implement the rim chain.

Keywords: Knowledge graph, Crowd science, Digital-self, Rim chain network

References(5)

Chai, Y., Miao, C., Sun, B., Zheng, Y. and Li, Q. (2017), “Crowd science and engineering: concept and research framework”, International Journal of Crowd Science, Vol. 1 No. 1, pp. 2-8.

Kutsenok, A. (2004), “Swarm AI: a solution to soccer”, Master’s thesis, Department of Computer Science, Rose-Hulman Institute of Technology, Terre Haute, IN.
Lévy, P. (1997), Collective Intelligence, Plenum/Harper Collins, New York, NY.

Li, W., Wu, W., Wang, H., Cheng, X.Q., Chen, H.J., Zhou, Z.H. and Ding, R. (2017), “Crowd intelligence in AI 2.0 era”, Frontiers of Information Technology and Electronic Engineering, Vol. 18 No. 1, pp. 15-43.

Pierre, L. (1997), Collective Intelligence: Mankind’s Emerging World in Cyberspace, Perseus Books, Cambrigde, MA.
Publication history
Copyright
Acknowledgements
Rights and permissions

Publication history

Received: 20 January 2019
Revised: 05 May 2019
Accepted: 06 May 2019
Published: 21 June 2019
Issue date: September 2019

Copyright

© The author(s)

Acknowledgements

Acknowledgements

This work is partially supported by National Key R&D Program No. 2017YFB1400100.

Rights and permissions

Pengze Li, Ran Zhang, Lei Liu, Lizhen Cui, Qingzhong Li and Guangpeng Zhou. 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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