The Matthew effect describes the phenomenon that in societies, the rich tend to get richer
and the potent even more powerful. It is closely related to the concept of preferential …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Network embedding is an important method to learn low-dimensional representations of
vertexes in networks, aiming to capture and preserve the network structure. Almost all the …

The increasing growth of online social networks has drawn researchers' attention to link
prediction and has been adopted in many fields, including computer sciences, information …

Inspired by empirical studies of networked systems such as the Internet, social networks,
and biological networks, researchers have in recent years developed a variety of techniques …

Given a snapshot of a social network, can we infer which new interactions among its
members are likely to occur in the near future? We formalize this question as the link …

Over one billion people are currently using social media such as social websites (Facebook
Newsroom, 2015); consequently, numerous academic scholars have developed interest in …

Stochastic actor-based models are models for network dynamics that can represent a wide
variety of influences on network change, and allow to estimate parameters expressing such …

Temporal graphs are widely used to model dynamic systems with time-varying interactions.
In real-world scenarios, the underlying mechanisms of generating future interactions in …

Statistical physics has proven to be a fruitful framework to describe phenomena outside the
realm of traditional physics. Recent years have witnessed an attempt by physicists to study …