Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

An emerging disease is one infectious epidemic caused by a newly transmissible pathogen,
which has either appeared for the first time or already existed in human populations, having …

We introduce a model for the emergence of innovations, in which cognitive processes are
described as random walks on the network of links among ideas or concepts, and an …

Uncovering human mobility patterns is of fundamental importance to the understanding of
epidemic spreading, urban transportation and other socioeconomic dynamics embodying …

Statistical methods have been widely employed to study the fundamental properties of
language. In recent years, methods from complex and dynamical systems proved useful to …

How to identify influential nodes is a key issue in complex networks. The degree centrality is
simple, but is incapable to reflect the global characteristics of networks. Betweenness …

Why do climate and financial crises pose such extreme risks? And what does it take to
respond effectively to those risks? Extreme weather events–storms and sea-level rise, heat …

1.1 Aims For nearly hundred years, researchers have noticed how language ubiquitously
follows certain mathematical properties. These properties differ from linguistic universals that …

Untangling the origin and evolution of viruses remains a challenging proposition. We
recently studied the global distribution of protein domain structures in thousands of …

Zipf's law describes the empirical size distribution of the components of many systems in
natural and social sciences and humanities. We show, by solving a statistical model, that …