Considering the ever-increasing size and complexity of social networks, developing
methods to extract meaningful knowledge and information from users' vast amounts of data …

This work deals with a generalization of the minimum Target Set Selection (TSS) problem, a
key algorithmic question in information diffusion research due to its potential commercial …

The dissemination of news articles on social media platforms significantly impacts the
public's perception of global issues, with the nature of these articles varying in credibility and …

Despite much work on social media, analysis of individual influence campaigns, messages,
and platforms, we lack the tools and techniques and fundamental research to effectively …

This paper aims to show how some popular topics on social networks can be used to predict
online newspaper views, related to the topics. Newspapers site and many social networks …

Online disinformation actors are those individuals or bots who disseminate false or
misleading information over social media, with the intent to sway public opinion in the …

Interpersonal influence has a radical impact on the dissemination of information in online
social media. Methods for measuring this influence between online conversation partners …

In this study, we introduce a novel approach to influence optimization in social networks by
leveraging the mathematical framework of hypergraphs. Traditional centrality measures …

Abstract Information diffusion is significant in fields such as propagation prediction and
influence maximization, with applications in viral marketing and rumor control. Despite …

This thesis considers the ways researchers and decision-makers deal with malicious actions
in the information environment (IE). We are motivated by the profusion of research since …