TY - GEN
T1 - Analysis of opinion dynamics in social networks subject to time-varying topologies
AU - Wu, Yuxin
AU - Meng, Deyuan
AU - Zhang, Jingyao
AU - Cheng, Long
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - For social networks, the interactions among agents and the relative self-confidence of each agent compared with the effects of its neighbors generally change over time. This requires using time-varying signed digraphs to describe the opinion forming processes of agents, where the positive and negative edges can represent cooperations and antagonisms, respectively. In this paper, an improved opinion dynamics model instead of the conventional Laplacian-type model is exploited with allowance of the potential variation of relative self-confidence of each agent, which can be reflected by the diagonal dominance degree. It is shown that both the structural characteristics of social networks and the diagonal dominance degrees determine the opinion forming performances, and some sufficient conditions related to these two factors are proposed to establish the bipartite consensus and stability results of agents. Two simulation examples are provided to illustrate the obtained opinion forming behaviors.
AB - For social networks, the interactions among agents and the relative self-confidence of each agent compared with the effects of its neighbors generally change over time. This requires using time-varying signed digraphs to describe the opinion forming processes of agents, where the positive and negative edges can represent cooperations and antagonisms, respectively. In this paper, an improved opinion dynamics model instead of the conventional Laplacian-type model is exploited with allowance of the potential variation of relative self-confidence of each agent, which can be reflected by the diagonal dominance degree. It is shown that both the structural characteristics of social networks and the diagonal dominance degrees determine the opinion forming performances, and some sufficient conditions related to these two factors are proposed to establish the bipartite consensus and stability results of agents. Two simulation examples are provided to illustrate the obtained opinion forming behaviors.
KW - Diagonal dominance degree
KW - Opinion dynamics
KW - Social network
KW - Time-varying topology
UR - https://www.scopus.com/pages/publications/85076416347
U2 - 10.1109/DDCLS.2019.8908977
DO - 10.1109/DDCLS.2019.8908977
M3 - 会议稿件
AN - SCOPUS:85076416347
T3 - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019
SP - 147
EP - 152
BT - Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2019
Y2 - 24 May 2019 through 27 May 2019
ER -