A standard form of citation of this article is:
Gong, Xiaoguang and Xiao, Renbin (2007). 'Research on Multi-Agent Simulation of Epidemic News Spread Characteristics'. Journal of Artificial Societies and Social Simulation 10(3)1 <https://www.jasss.org/10/3/1.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{gong2007,
title = Research on Multi-Agent Simulation of Epidemic News Spread Characteristics,
author = Gong, Xiaoguang and Xiao, Renbin,
journal = Journal of Artificial Societies and Social Simulation,
ISSN = 1460-7425,
volume = 10,
number = 3,
pages = 1,
year = 2007,
URL = https://www.jasss.org/10/3/1.html,
keywords = Multi-Agent Simulation, News Spread, Small World Network , Epidemic,
abstract = The spread of news about an epidemic can easily lead to a social panic. In order to devise measures to control such a panic, it is necessary to consider characteristics of the spread of epidemic news, based on mechanisms at the individual level. In this paper, first, some features of multi-agent simulation are reviewed. Then a multi-agent simulation model of epidemic news spread (ENS) is designed and realized. Based on simulation experiments and sensitivity analyses, the influence of social relationships, the degree of trust in news of the epidemic, the epidemic spread intensity and the network structure of the epidemic news spread are studied. The research results include: (1) As the number of social relationships increases, the rate of spread of epidemic news rapidly rises, and the ratio of people who have heard the news directly decreases. The result is that the 'radiation effect' of the epidemic news spread will be enhanced when the number of social relationships increases. (2) With the increase of the degree of trust in the news, the rate of spread of the news will also rapidly increase, but variation in the ratio of the people who have heard the news directly is not significant. This means that the 'radiation effect' of the spread of the news does not change much more in relation to the degree of trust in the epidemic news. (3) The ratio of the people who have heard the news directly increases when the infection range increases (i.e. the spread intensity of epidemic increases), and vice versa. But the variation of the speed of the epidemic news spread is not significant. (4) When the network structure is assumed to be a small world network, the spread speed will be slower than that in a random network with the same average vertex degree and the forgetting speed will be faster than that in a random network with the same average vertex degree.,
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Research on Multi-Agent Simulation of Epidemic News Spread Characteristics
AU - Gong, Xiaoguang
AU - Xiao, Renbin
Y1 - 2007/06/30
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 10
IS - 3
SP - 1
UR - https://www.jasss.org/10/3/1.html
KW - Multi-Agent Simulation
KW - News Spread
KW - Small World Network
KW - Epidemic
N2 - The spread of news about an epidemic can easily lead to a social panic. In order to devise measures to control such a panic, it is necessary to consider characteristics of the spread of epidemic news, based on mechanisms at the individual level. In this paper, first, some features of multi-agent simulation are reviewed. Then a multi-agent simulation model of epidemic news spread (ENS) is designed and realized. Based on simulation experiments and sensitivity analyses, the influence of social relationships, the degree of trust in news of the epidemic, the epidemic spread intensity and the network structure of the epidemic news spread are studied. The research results include: (1) As the number of social relationships increases, the rate of spread of epidemic news rapidly rises, and the ratio of people who have heard the news directly decreases. The result is that the 'radiation effect' of the epidemic news spread will be enhanced when the number of social relationships increases. (2) With the increase of the degree of trust in the news, the rate of spread of the news will also rapidly increase, but variation in the ratio of the people who have heard the news directly is not significant. This means that the 'radiation effect' of the spread of the news does not change much more in relation to the degree of trust in the epidemic news. (3) The ratio of the people who have heard the news directly increases when the infection range increases (i.e. the spread intensity of epidemic increases), and vice versa. But the variation of the speed of the epidemic news spread is not significant. (4) When the network structure is assumed to be a small world network, the spread speed will be slower than that in a random network with the same average vertex degree and the forgetting speed will be faster than that in a random network with the same average vertex degree.
ER -