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

The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

The menace of misinformation online has gained considerable media attention and
plausible solutions for combatting misinformation have often been less than satisfactory. In …

A great variety of systems in nature, society and technology–from the web of sexual contacts
to the Internet, from the nervous system to power grids–can be modeled as graphs of …

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 …

Stochastic and Markovian modeling are of importance to many areas of science including
physics, biology, engineering, as well as economics, finance, and social sciences. This text …

Bursty dynamics is a common temporal property of various complex systems in nature but it
also characterises the dynamics of human actions and interactions. At the …

We develop a theoretical framework for the study of epidemiclike social contagion in large
scale social systems. We consider the most general setting in which different communication …

Heavy-tailed distributions of meme popularity occur naturally in a model of meme diffusion
on social networks. Competition between multiple memes for the limited resource of user …

Epidemic spreading processes in the real world depend on human behaviors and,
consequently, are typically non-Markovian in that the key events underlying the spreading …