The pervasive diffusion of Social Networks (SN) produced an unprecedented amount of
heterogeneous data. Thus, traditional approaches quickly became unpractical for real life …

We study opinion diffusion on social graphs where agents hold binary opinions and where
social pressure leads them to conform to the opinion manifested by the majority of their …

Analyzing and predicting the dynamics of opinion formation in the context of social
environments are problems that attracted much attention in literature. While grounded in …

Influence maximization is key topic in data mining, with broad applications in social network
analysis and viral marketing. In recent years, researchers have increasingly turned to …

The influence maximization (IM) problem involves identifying a set of key individuals in a
social network who can maximize the spread of influence through their network connections …

The use of social media has generated huge Online Social Networks (OSN). This network
exhibits nice structural properties and has opened door to various research tasks like …

To properly capture the complexity of influence propagation phenomena in real-world
contexts, such as those related to viral marketing and misinformation spread, information …

What are the key-features that enable an information diffusion model to explain the inherent
dynamic, and often competitive, nature of real-world propagation phenomena? In this paper …

An opinion diffusion scenario is considered where two marketers compete to diffuse their
own opinions over a social network. In particular, they implement social proof marketing …

Big Data rise made traditional data management techniques inadequate in many real life
scenarios. In particular, the availability of huge amounts of data pertaining to user …