Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks

Thumbnail
Download Url(s)
http://doi.org/10.1017/9781009239158
Author(s)
Masuda, Naoki
Vestergaard, Christian L.
Language
English
Show full item record
Abstract
This Element provides a tutorial on the Gillespie algorithms focusing on social multiagent dynamics and also review their recent extensions. The first main part focuses on simulation of social multiagent dynamics occurring in populations and networks, and the remainder reviews recent extensions of the Gillespie algorithms.
URI
https://directory.doabooks.org/handle/20.500.12854/142950
Keywords
statistical physics; network science and complex; algorithmics; complexity; computer algebra and computational geometry; discrete mathematics; information theory and coding
DOI
10.1017/9781009239158
ISBN
9781009239158, 9781009239141
Publisher
Cambridge University Press
Publication date and place
2022
Imprint
Physical Sciences
Series
Elements in the Structure and Dynamics of Complex Networks, SDCN
Classification
Statistical physics
Discrete mathematics
Maths for computer scientists
Mathematical physics
Pages
106
Rights
https://creativecommons.org/licenses/by-nc-nd/4.0/
https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/