In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

Applying natural language processing for mining and intelligent information access to tweets
(a form of microblog) is a challenging, emerging research area. Unlike carefully authored …

Multilayer networks, in particular multilayer social networks, where users belong to and
interact on different networks at the same time, are an active research area in social network …

With the growing popularity of online social networks, an environment has been set up that
can spread rumors in a faster and wider manner than ever before, which can have …

Several systems can be modeled as sets of interconnected networks or networks with
multiple types of connections, here generally called multilayer networks. Spreading …

Community detection, also known as graph clustering, has been extensively studied in the
literature. The goal of community detection is to partition vertices in a complex graph into …

Online social networks provide an opportunity to spread messages and news fast and
widely. One may appreciate the quick spread of legitimate news and messages but …

A multiplex network models different modes of interaction among same-type entities. In this
article, we provide a taxonomy of community detection algorithms in multiplex networks. We …

Using a large sample of A-share listed companies on the Chinese stock market, we
investigate the impact of information interaction among institutional investors (IIAII) on stock …