A standard form of citation of this article is:
Tambayong, Laurent (2007). 'Dynamics of Network Formation Processes in the Co-Author Model'. Journal of Artificial Societies and Social Simulation 10(3)2 <https://www.jasss.org/10/3/2.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{tambayong2007,
title = Dynamics of Network Formation Processes in the Co-Author Model,
author = Tambayong, Laurent,
journal = Journal of Artificial Societies and Social Simulation,
ISSN = 1460-7425,
volume = 10,
number = 3,
pages = 2,
year = 2007,
URL = https://www.jasss.org/10/3/2.html,
keywords = Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity,
abstract = This article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.,
}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 - Dynamics of Network Formation Processes in the Co-Author Model
AU - Tambayong, Laurent
Y1 - 2007/06/30
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 10
IS - 3
SP - 2
UR - https://www.jasss.org/10/3/2.html
KW - Dynamics
KW - Network
KW - Game Theory
KW - Model
KW - Simulation
KW - Equilibrium
KW - Complexity
N2 - This article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.
ER -