@article{Wang2020, 
author = {Zhong Wang and Hongbo Sun and Baode Fan},
title = {A novel steady-state maintenance simulation framework for multi- information disseminations in crowd network},
year = {2020},
journal = {International Journal of Crowd Science},
volume = {4},
number = {3},
pages = {273-282},
keywords = {Emergence, Crowd network, Multi-source information dissemination, Steady-state},
url = {https://www.sciopen.com/article/10.1108/IJCS-02-2020-0003},
doi = {10.1108/IJCS-02-2020-0003},
abstract = {PurposeThe 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/approachWith 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.FindingsThis 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/valueThis paper will help researchers to solve problems of public opinion control in multi-source information dissemination in crowd network.}
}