论文标题

自适应网络方法出现社会气泡

Adaptive network approach for emergence of societal bubbles

论文作者

Maia, Hugo P., Ferreira, Silvio C., Martins, Marcelo L.

论文摘要

远远超出了其与商业和政治营销的相关性,舆论形成和决策过程对于代表民主,政府职能和国家组织而言至关重要。在本报告中,研究了基于随机剂的模型。该模型假设有界的信心和同质机制通过重新布线或破坏社会接触来推动意见动态和社交网络的演变。除了从全球共识到观点两极分化的经典过渡外,我们的主要发现是(i)将社交网络的一系列分散化为回声室(模块),持有桥梁互连这些模块的明显意见和破裂,将这些模块互连为意见差异的容忍度增加。与这些模块相关的有多种尚存的意见,在其中形成了共识。 (ii)自适应社交网络表现出一种类似滞后的行为,其特征是其拓扑的不可逆转变化,因为舆论宽容循环从激进化到共识,再到激进化。

Far beyond its relevance for commercial and political marketings, opinion formation and decision making processes are central for representative democracy, government functioning, and state organization. In the present report, a stochastic agent-based model is investigated. The model assumes that bounded confidence and homophily mechanisms drive both opinion dynamics and social network evolution through either rewiring or breakage of social contacts. In addition to the classical transition from global consensus to opinion polarization, our main findings are (i) a cascade of fragmentation of the social network into echo chambers (modules) holding distinct opinions and rupture of the bridges interconnecting these modules as the tolerance for opinion differences increases. There are multiple surviving opinions associated to these modules within which consensus is formed; and (ii) the adaptive social network exhibits a hysteresis-like behavior characterized by irreversible changes in its topology as the opinion tolerance cycles from radicalization towards consensus and backward to radicalization.

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