Spreading of Competing Information in a Network

被引：11

作者：

Bagarello, Fabio ^{[1
,2
]}

Gargano, Francesco ^{[1
]}

Oliveri, Francesco ^{[3
]}

机构：

[1] Univ Palermo, Dipartimento Ingn, Viale Sci, I-90128 Palermo, Italy

[2] INFN Sez Napoli, I-80126 Naples, Italy

[3] Univ Messina, Dipartimento Sci Matemat & Informat, Sci Fis & Sci Terra, Viale F Stagno Alcontres 31, I-98166 Messina, Italy

来源：

ENTROPY | 2020年 / 22卷 / 10期

关键词：

operatorial models; (H; rho)-induced dynamics; spreading of news; RHO)-INDUCED DYNAMICS; (H;

D O I：

10.3390/e22101169

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We propose a simple approach to investigate the spreading of news in a network. In more detail, we consider two different versions of a single type of information, one of which is close to the essence of the information (and we call it good news), and another of which is somehow modified from some biased agent of the system (fake news, in our language). Good and fake news move around some agents, getting the original information and returning their own version of it to other agents of the network. Our main interest is to deduce the dynamics for such spreading, and to analyze if and under which conditions good news wins against fake news. The methodology is based on the use of ladder fermionic operators, which are quite efficient in modeling dispersion effects and interactions between the agents of the system.

引用

页码：1 / 14

页数：14

共 14 条

[11] Large-scale effects of migration and conflict in pre-agricultural groups: Insights from a dynamic model [J].