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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

Crowd network Ecological Structure Evolution Simulation Mathematical modeling Evolution simulation framework

References

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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

No.	The parameter types	The parameter types	Value range	The set value	Note
1	total market demand N	Integer	+	100
2	Producers P	Integer	+	100
3	Intermediaries M	Integer	+	50
4	Service providers S	Integer	+	10
5	Transaction necessary services n	Integer	+	10
6	Labor endowment l	Integer	+	10
7	Degree of specialized economy a	Double	+	1.8
8	Revenue threshold M	Integer	+	20
9	Transaction efficiency k	Double	(0,1)	0.01
10	Simulation of wheel R	Integer	+	5