Abstract Information cascades are important dynamical processes in complex networks. An
information cascade can describe the spreading dynamics of rumour, disease, memes, or …

Influence Maximization (IM), which selects a set of k users (called seed set) from a social
network to maximize the expected number of influenced users (called influence spread), is a …

Diffusion is a fundamental graph process, underpinning such phenomena as epidemic
disease contagion and the spread of innovation by word-of-mouth. We address the …

The moment when the hyperconnectedness of our world became most evident to me was on
October 20th, 2011, when images of the death of Colonel Muammar el-Qaddafi, the former …

The concept of contagion has steadily expanded from its original grounding in epidemic
disease to describe a vast array of processes that spread across networks, notably social …

Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a
social network that could maximize the spread of influence. In this paper, we study the …

Models for the processes by which ideas and influence propagate through a social network
have been studied in a number of domains, including the diffusion of medical and …

Social networks often serve as a medium for the diffusion of ideas or innovations. An
individual's decision whether to adopt a product or innovation will be highly dependent on …

Nowadays, social influence is ubiquitous in everyday life, online social networks have
become a focal point for research in science. Formal mathematical models for the analysis of …

Our study concerns an important current problem, that of diffusion of information in social
networks. This problem has received significant attention from the Internet research …