International Journal of Crowd Science 2021, 5(3): 281-292 https://doi.org/10.1108/IJCS-03-2021-0008

Research paper |

Open Access | Issue | Published: 07 October 2021

Crowd intelligence evolution based on complex network

Show Author's Information Hide Author's Information Jianran Liu^¹, Wen Ji^²

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China

Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Keywords:

Complex network, Crowd intelligence, Intelligence evolution, Agent interaction, Force layout

Cite this article:

Liu J, Ji W. Crowd intelligence evolution based on complex network. International Journal of Crowd Science, 2021, 5(3): 281-292. https://doi.org/10.1108/IJCS-03-2021-0008

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Abstract Full text About this article

Abstract

Purpose

In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks.

Design/methodology/approach

This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence.

Findings

The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout.

Practical implications

The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed.

Originality/value

Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

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About this article

Crowd intelligence evolution based on complex network

Show Author's information Hide Author's Information Jianran Liu^¹, Wen Ji^²

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China

Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Abstract

Purpose

Design/methodology/approach

This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence.

Findings

Practical implications

Originality/value

Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

Keywords: Complex network, Crowd intelligence, Intelligence evolution, Agent interaction, Force layout

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Publication history

Acknowledgements

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Publication history

Received: 03 March 2021

Revised: 27 August 2021

Accepted: 01 September 2021

Published: 07 October 2021

Issue date: November 2021

Copyright

Acknowledgements

This work is supported by the National Key R&D Program of China (2017YFB1400100) and the National Natural Science Foundation of China (62072440) and the Beijing Natural Science Foundation (4202072).

Rights and permissions

Jianran Liu and Wen Ji. 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