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

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.

COVID-19 Spread Simulation in a Crowd Intelligence Network

“…Studies on the Crowd Intelligence Network Model are obtained from Crowd Science and Engineering, which explores the basic principles and laws of the collective intelligence system [34,35] . Researchers have mapped individuals in the real world into digital space, discussed the mechanisms of information diffusion, and analyzed the multi-information disseminations in the Crowd Network [36,37] .…”