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Opinion evolution on a BA scaling network

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成果类型:
期刊论文
作者:
Zhu Yue-ying*;Li Wei;Cai Xu
通讯作者:
Zhu Yue-ying
作者机构:
[Cai Xu; Zhu Yue-ying; Li Wei] Cent China Normal Univ, Complex Sci Ctr, Wuhan 430079, Peoples R China.
[Cai Xu; Zhu Yue-ying; Li Wei] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
[Li Wei] Max Planck Inst Math Sci, D-04103 Leipzig, Germany.
通讯机构:
[Zhu Yue-ying] C
Cent China Normal Univ, Complex Sci Ctr, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Average magnetization;Critical point;Mean-field theory;Opinion evolution;Phase transition;Standard deviation
期刊:
Physica A-Statistical Mechanics and its Applications
ISSN:
0378-4371
年:
2013
卷:
392
期:
24
页码:
6596-6602
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [10975057, 10635020, 10647125, 10975062]; Programme of Introducing Talents of Discipline to UniversitiesMinistry of Education, China - 111 Project [B08033]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
心理学院
摘要:
In this paper, the dynamics of opinion formation is investigated based on a BA (Baraba´si-Albert) scale-free network, using a majority-minority rule governed by parameter q. As the value of q is smoothly varied, a phase transition occurs between an ordered phase and a disordered one. By performing extensive Monte Carlo simulations, we show that the phase transition is dependent on the system size, as well as on m, the number of edges added at each time step during the growth of the BA scaling network. Additionally, some theoretical analysis is given based on mean-field theory, by neglect...

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