Complementary to the fancy applications of social networks, influence analysis is an
indispensable technique supporting these practical applications. In recent years, this …

Fueled by the increasing popularity of online social networks, social influence analysis has
attracted a great deal of research attention in the past decade. The diffusion process is often …

Cyber-epidemics, the widespread of fake news or propaganda through social media, can
cause devastating economic and political consequences. A common countermeasure …

Given an aftermath of a cascade in the network, ie a set VI of" infected" nodes after an
epidemic outbreak or a propagation of rumors/worms/viruses, how can we infer the sources …

Influence maximization is among the most fundamental algorithmic problems in social
influence analysis. Over the last decade, a great effort has been devoted to developing …

Given a social network, the Influence Maximization (InfMax) problem seeks a seed set of k
people that maximizes the expected influence for a viral marketing campaign. However, a …

Information can propagate among Online Social Network (OSN) users at a high speed,
which makes the OSNs become important platforms for viral marketing. Although the viral …

Influence propagation in networks has enjoyed fruitful applications and has been
extensively studied in literature. However, only very limited preliminary studies tackled the …

Given a target area and a location‐aware social network, the location‐aware influence
maximization problem aims to find a set of seed users such that the information spread from …

Most research on information propagation in social networks does not consider how to find
information dissemination paths from the information source node to a set of influential …