The power of any kind of network approach lies in the ability to simplify a complex system so
that one can better understand its function as a whole. Sometimes it is beneficial, however …

A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …

Infectious diseases can be considered to spread over social networks of people or animals.
Mainly owing to the development of data recording and analysis techniques, an increasing …

The vast majority of strategies aimed at controlling contagion processes on networks
consider the connectivity pattern of the system either quenched or annealed. However, in …

如何用定量分析的方法识别超大规模网络中哪些节点最重要, 或者评价某个节点相对于其他一个
或多个节点的重要程度, 这是复杂网络研究中亟待解决的重要问题之一. 本文分别从网络结构和 …

Many complex systems that exhibit temporal nonpairwise interactions can be represented by
means of generative higher-order network models. Here, we propose a hidden variable …

We investigate the effects of modular and temporal connectivity patterns on epidemic
spreading. To this end, we introduce and analytically characterise a model of time-varying …

Many dynamical systems can be successfully analyzed by representing them as networks.
Empirically measured networks and dynamic processes that take place in these situations …

Records of social interactions provide us with new sources of data for understanding how
interaction patterns affect collective dynamics. Such human activity patterns are often bursty …

We study SIS epidemic spreading processes unfolding on a recent generalization of the
activity-driven modeling framework. In this model of time-varying networks, each node is …