All beauty, richness and harmony in the emergent dynamics of a complex system largely
depend on the specific way in which its elementary components interact. The last twenty-five …

Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

首先根据处理形式的不同, 介绍了不同形式数据的特征和各自的典型应用场景以及相应的代表性
处理系统, 总结了大数据处理系统的三大发展趋势; 随后, 对系统支撑下的大数据分析技术和应用 …

Complex networks have become the main paradigm for modelling the dynamics of
interacting systems. However, networks are intrinsically limited to describing pairwise …

Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

The outbreak of monkeypox across non-endemic regions confirmed in May 2022 shows
epidemiological features distinct from previously imported outbreaks, most notably its …

Despite various levels of preventive measures, in 2020, many countries have suffered
severely from the coronavirus disease 2019 (COVID-19) pandemic caused by the severe …

In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …