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Technical paper | Open Access

A novel steady-state maintenance simulation framework for multi- information disseminations in crowd network

Zhong Wang, Hongbo Sun(), Baode Fan

School of Computer and Control Engineering, Yantai University, Yantai, China

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Abstract

Purpose

The era of crowd network is coming and the research of its steady-state is of great importance. This paper aims to establish a crowd network simulation platform and maintaining the relative stability of multi-source dissemination systems.

Design/methodology/approach

With this simulation platform, this paper studies the characteristics of “emergence,” monitors the state of the system and according to the fixed point judges the system of steady-state conditions, then uses three control conditions and control methods to control the system status to acquire general rules for maintain the stability of multi-source information dissemination systems.

Findings

This paper establishes a novel steady-state maintenance simulation framework. It will be useful for achieving controllability to the evolution of information dissemination and simulating the effectiveness of control conditions for multi-source information dissemination systems.

Originality/value

This paper will help researchers to solve problems of public opinion control in multi-source information dissemination in crowd network.

Keywords

Emergence Crowd network Multi-source information dissemination Steady-state

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International Journal of Crowd Science

Volume 4 Issue 3,
September 2020

Pages 273-282

DOI: 10.1108/IJCS-02-2020-0003

Cite this article:

Wang Z, Sun H, Fan B. A novel steady-state maintenance simulation framework for multi- information disseminations in crowd network. International Journal of Crowd Science, 2020, 4(3): 273-282. https://doi.org/10.1108/IJCS-02-2020-0003