Ferri Irene, Pérez-Vicente Conrad, Palassini Matteo, Díaz-Guilera Albert
Departament de Física de la Matéria Condensada, Universitat de Barcelona, 08028 Barcelona, Spain.
Universitat de Barcelona Institute of Complex Systems (UBICS), Universitat de Barcelona, 08028 Barcelona, Spain.
Entropy (Basel). 2022 Nov 10;24(11):1627. doi: 10.3390/e24111627.
We investigate opinion diffusion on complex networks and the interplay between the existence of neutral opinion states and non-trivial network structures. For this purpose, we apply a three-state opinion model based on magnetic-like interactions to modular complex networks, both synthetic and real networks extracted from Twitter. The model allows for tuning the contribution of neutral agents using a neutrality parameter. We also consider social agitation, encoded as a temperature, that accounts for random opinion changes that are beyond the agent neighborhood opinion state. Using this model, we study which topological features influence the formation of consensus, bipartidism, or fragmentation of opinions in three parties, and how the neutrality parameter and the temperature interplay with the network structure.
我们研究复杂网络上的观点扩散以及中性观点状态的存在与非平凡网络结构之间的相互作用。为此，我们将基于类磁相互作用的三态观点模型应用于模块化复杂网络，包括从推特提取的合成网络和真实网络。该模型允许使用中性参数调整中性主体的贡献。我们还考虑将社会动荡编码为一个温度，它解释了超出主体邻域观点状态的随机观点变化。使用这个模型，我们研究哪些拓扑特征会影响三方中观点的共识、二分性或碎片化的形成，以及中性参数和温度如何与网络结构相互作用。
