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Research paper | Open Access

An evolution simulation framework for ecological structure of crowd networks

Jiwu Wang, Hongbo Sun( )
School of Computer and Control Engineering, Yantai University, Yantai, China
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Abstract

Purpose

This paper aims to obtain optimal specialization mode and level for complex network or system structures. In the e-commerce system, this paper studies the changes of each transaction subject in the process of ecological structure based on the income level of each transaction subject.

Design/methodology/approach

This paper aims to research the change of transaction efficiency evolution process of intermediaries. With the improvement of transaction efficiency, intermediaries interact with other transaction subjects at given modes in e-commerce systems. This paper analyzes the relationship between the factors of production and trade and explains the quantitative relationship between them in the form of mathematical modeling. An evolution simulation framework is established to elaborate the simulation process and method of crowd network in e-commerce ecosystem and then sets up the simulation experiment.

Findings

During simulation processes, the changes of data are observed and analyzed to obtain the optimal evolution paths and specialization modes. Furthermore, this paper provides solid supports for the research of the quantitative analysis of ecological structure evolutions.

Originality/value

Evolution simulation of ecological structure is first proposed in the topic of crowd network. It is with the aid of the concept of ecology, the theory and method, simulation of complex network structure and system structure. This paper analyses and researches the evolution process of optimal specialization modes and intelligent level of crowd networks with transaction efficiency changing. The ecological structure optimal evolution paths can be obtained by trend of simulations.

Keywords

Mathematical modelingCrowd networkEcological StructureEvolution SimulationEvolution simulation framework

References

 

Dong, W., Li, Y., Zhen, B. and Wang, L. (2001), “Evolutionary computation applied in simulaition and control system”, System Simulation Tecknology and Application, Vol. 8 No. 3, pp. 139-146.
Google Scholar
 
Hu, L. Lu, X. and Huang, L. (2009), “E-commerce ecosystem and its evolution path”, Economic Management, Vol. 6, pp. 118-124.
 
Jiang, Q. Cao, X., Xiao, F. and Min, X. (2013), “Ecological construction of e-commerce”, Internet weekly, Vol. 12, pp. 30-33.
 
Liu, L. (2010), “Analysis of influencing factors of e-commerce ecosystem evolution”, Modern Business Industry, Vol. 5, pp. 291-292.
 
Liu, Y. and Li, Z. (2010), Research on Complex Networks and Evolutionary Game Dynamics on Networks, Xidian University, Xi'an.
 

Lv, W., Zhu, H., Pan, C. and Yang, G. (2011), “Agent evolution simulation analysis of university research organizations”, Computer Simulation, Vol. 28 No. 10, pp. 391-396.
Google Scholar
 

Moore, J.F. (1993), “Predators and prey: a new ecology of competition”, Harvard Business Review, Vol. 71 No. 3, pp. 75-86.
Google Scholar
 

Tang, H., Zhu, Q. and Zhang, J. (2019), “Simulation study on dynamic evolution of internet business ecosystem”,Business Economy and Management, Vol. 329 No. 3, pp. 7-21.
Google Scholar
 
Tian, Z. and Zhang, Z. (2015), Research on the Evolution Mechanism of e-Commerce Market Network Based on Self-Organization Theory, Beijing Jiaotong University, Beijing.
 
Wang, L. and Chai, Y. (2018), E-Commerce Market Structure Evolution Mechanism Research, Tsinghua University, Beijing.
 

Yang, Y., Rong, Z. and Li, X. (2008), “A review of evolutionary game theory of complex networks”, Complex Systems and Complexity Science, Vol. 5 No. 4, pp. 51-59.
Google Scholar
 
Zhang, M. and Sun, H. (2017), “A HLA based simulation framework for crowd science”, Proceedings of 2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications(MMSTA 2017), Xiamen.
International Journal of Crowd Science
Volume 4 Issue 1,
March 2020
Pages 87-100
DOI: 10.1108/IJCS-09-2019-0022
Cite this article:
Wang J, Sun H. An evolution simulation framework for ecological structure of crowd networks. International Journal of Crowd Science, 2020, 4(1): 87-100. https://doi.org/10.1108/IJCS-09-2019-0022

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Received: 10 September 2019
Revised: 27 October 2019
Accepted: 28 October 2019
Published: 10 January 2020
© The author(s)

Jiwu Wang and Hongbo Sun. 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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