Emergence of simple and complex contagion dynamics from weighted belief networks

被引:3
作者
Aiyappa, Rachith [1 ]
Flammini, Alessandro [1 ]
Ahn, Yong-Yeol [1 ]
机构
[1] Indiana Univ, Ctr Complex Networks & Syst, Luddy Sch Informat Comp & Engn, Bloomington, IN 47408 USA
基金
美国国家科学基金会;
关键词
DIFFUSION; SCIENCE; MODEL;
D O I
10.1126/sciadv.adh4439
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases, the integration of cognitive mechanisms with the theory of social contagion remains an open challenge. In particular, studies on social phenomena usually assume contagion dynamics to be either simple or complex, rather than allowing it to emerge from cognitive mechanisms, despite empirical evidence indicating that a social system can exhibit a spectrum of contagion dynamics-from simple to complex-simultaneously. Here, we propose a model of interacting beliefs, from which both simple and complex contagion dynamics can organically arise. Our model also elucidates how a fundamental mechanism of complex contagion-resistance-can come about from cognitive mechanisms.
引用
收藏
页数:9
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