物理
订单(交换)
成对比较
复杂系统
统计物理学
集体行为
复杂网络
数据科学
计算机科学
人工智能
社会学
财务
人类学
万维网
经济
作者
Federico Battiston,Enrico Amico,Alain Barrat,Ginestra Bianconi,Guilherme Ferraz de Arruda,Benedetta Franceschiello,Iacopo Iacopini,Sonia Kéfi,Vito Latora,Yamir Moreno,Micah M. Murray,Tiago P. Peixoto,Francesco Vaccarino,Giovanni Petri
出处
期刊:Nature Physics
[Springer Nature]
日期:2021-10-01
卷期号:17 (10): 1093-1098
被引量:232
标识
DOI:10.1038/s41567-021-01371-4
摘要
Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order interactions involving groups of three or more units. Higher-order structures, such as hypergraphs and simplicial complexes, are therefore a better tool to map the real organization of many social, biological and man-made systems. Here, we highlight recent evidence of collective behaviours induced by higher-order interactions, and we outline three key challenges for the physics of higher-order systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI