Soriano-Paños D, Guo Q, Latora V, Gómez-Gardeñes J
GOTHAM Laboratory, Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50018 Zaragoza, Spain.
Departamento de Física de la Materia Condensada, Universidad de Zaragoza, 50009 Zaragoza, Spain.
Phys Rev E. 2019 Jun;99(6-1):062311. doi: 10.1103/PhysRevE.99.062311.
We introduce a model to study the interplay between information spreading and opinion formation in social systems. Our framework consists in a two-layer multiplex network where opinion dynamics takes place in one layer, while information spreads on the other one. The two dynamical processes are mutually coupled in such a way that the control parameters governing the dynamics of the node states at one layer depend on the dynamical states at the other layer. In particular, we consider the case in which consensus is favored by the common adoption of information, while information spreading is boosted between agents sharing similar opinions. Numerical simulations of the model point out that, when the coupling between the dynamics of the two layers is strong enough, a double explosive transition, i.e., a discontinuous transition both in consensus dynamics and in information spreading appears. Such explosive transitions lead to bi-stability regions in which the consensus-informed states and the disagreement-uninformed states are both stable solutions of the intertwined dynamics.
我们引入一个模型来研究社会系统中信息传播与观点形成之间的相互作用。我们的框架由一个双层多重网络组成，其中观点动态在一层中发生，而信息在另一层中传播。这两个动态过程相互耦合，使得控制一层中节点状态动态的参数取决于另一层的动态状态。特别地，我们考虑这样一种情况，即信息的共同采用有利于达成共识，而在持有相似观点的主体之间信息传播会得到促进。该模型的数值模拟指出，当两层动态之间的耦合足够强时，会出现双重爆发性转变，即在共识动态和信息传播中都会出现不连续转变。这种爆发性转变会导致双稳区域，在该区域中，基于共识的信息状态和不一致的无知状态都是相互交织动态的稳定解。
