TY - GEN
T1 - On Dynamics of Basic Network Creation Games with Non-Uniform Communication Interest
AU - Dresler, Maxime
AU - Mansour, Sanai
AU - Talhaoui, Safaa
AU - Yamauchi, Yukiko
AU - Tixeuil, Sebastien
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We consider network construction process by selfish players. Each player is associated to a vertex of a communication graph and can simultaneously remove one incident edge and add a new incident edge. Each player is interested in a subset of players and the goal of each player is to minimize the average or maximum distance to these players. Starting from a given initial communication graph, a sequence of selfish edge swaps generates an evolution of the communication graph. Due to non-uniform communication interest, this game may converge to a disconnected Nash equilibrium, which attains infinite social cost. In this paper, we focus on the dynamics of this game. We first give theoretical analysis such as the existence of a best response cycle and a sufficient condition on an initial communication graph so that it keeps connectivity in its dynamics. We then present simulation results to show the ratio of disconnected Nash equilibria, the social cost, and convergence time.
AB - We consider network construction process by selfish players. Each player is associated to a vertex of a communication graph and can simultaneously remove one incident edge and add a new incident edge. Each player is interested in a subset of players and the goal of each player is to minimize the average or maximum distance to these players. Starting from a given initial communication graph, a sequence of selfish edge swaps generates an evolution of the communication graph. Due to non-uniform communication interest, this game may converge to a disconnected Nash equilibrium, which attains infinite social cost. In this paper, we focus on the dynamics of this game. We first give theoretical analysis such as the existence of a best response cycle and a sufficient condition on an initial communication graph so that it keeps connectivity in its dynamics. We then present simulation results to show the ratio of disconnected Nash equilibria, the social cost, and convergence time.
UR - http://www.scopus.com/inward/record.url?scp=85185724534&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85185724534&partnerID=8YFLogxK
U2 - 10.1109/CANDARW60564.2023.00023
DO - 10.1109/CANDARW60564.2023.00023
M3 - Conference contribution
AN - SCOPUS:85185724534
T3 - Proceedings - 2023 11th International Symposium on Computing and Networking Workshops, CANDARW 2023
SP - 86
EP - 92
BT - Proceedings - 2023 11th International Symposium on Computing and Networking Workshops, CANDARW 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Symposium on Computing and Networking Workshops, CANDARW 2023
Y2 - 28 November 2023 through 1 December 2023
ER -