A standard form of citation of this article is:
Huang, Chung-Yuan, Sun, Chuen-Tsai and Lin, Hsun-Cheng (2005). 'Influence of Local Information on Social Simulations in Small-World Network Models'. Journal of Artificial Societies and Social Simulation 8(4)8 <https://www.jasss.org/8/4/8.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{huang2005,
title = \{Influence of Local Information on Social Simulations in Small-World Network Models},
author = \{Huang, Chung-Yuan and Sun, Chuen-Tsai and Lin, Hsun-Cheng},
journal = \{Journal of Artificial Societies and Social Simulation},
ISSN = \{1460-7425},
volume = \{8},
number = \{4},
pages = \{8},
year = \{2005},
URL = \{https://www.jasss.org/8/4/8.html},
keywords = \{Small-World Network Model, Contagion Problem, Local Information, Epidemic Simulation},
abstract = \{As part of Watts and Strogatz's small-world model of complex networks, local information mechanisms such as landscape properties are used to approximate real-world conditions in social simulations. The authors investigated the influence of local information on social simulations based on the small-world network model, using a cellular automata variation with added shortcuts as a test platform for simulating the spread of an epidemic disease or cultural values/ideas. Results from experimental simulations show that the percentage of weak individuals should be considered significant local information, but vertex degree influences and the distribution patterns of weak individuals should not. When exploring contagion problems, the results encourage a future emphasis on setting and the proportions of specific values of local information related to infection strength or resistance, and a reduced emphasis on the detailed topological structure of small-world network models and the distribution patterns of specific values of local information.},
}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 - Influence of Local Information on Social Simulations in Small-World Network Models
AU - Huang, Chung-Yuan
AU - Sun, Chuen-Tsai
AU - Lin, Hsun-Cheng
Y1 - 2005/10/31
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 8
IS - 4
SP - 8
UR - https://www.jasss.org/8/4/8.html
KW - Small-World Network Model
KW - Contagion Problem
KW - Local Information
KW - Epidemic Simulation
N2 - As part of Watts and Strogatz's small-world model of complex networks, local information mechanisms such as landscape properties are used to approximate real-world conditions in social simulations. The authors investigated the influence of local information on social simulations based on the small-world network model, using a cellular automata variation with added shortcuts as a test platform for simulating the spread of an epidemic disease or cultural values/ideas. Results from experimental simulations show that the percentage of weak individuals should be considered significant local information, but vertex degree influences and the distribution patterns of weak individuals should not. When exploring contagion problems, the results encourage a future emphasis on setting and the proportions of specific values of local information related to infection strength or resistance, and a reduced emphasis on the detailed topological structure of small-world network models and the distribution patterns of specific values of local information.
ER -