Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …

Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

When public health emergencies occur, relevant information containing different topics,
sentiments, and emotions spread rapidly on social media. From the cognitive and emotional …

In social network analysis, centrality refers to the relevance of actors or nodes within a social
network represented as a graph. Traditional centrality measures are based on topological …

During a pandemic, social media is a low-cost, accessible, and broad-reaching channel to
disseminate information, however social media platforms can be hotbeds for misinformation …

In a wide range of social networks, people's behavior is influenced by social contagion: we
do what our network does. Networks often feature particularly influential individuals …

News dissemination plays a vital role in supporting people to incorporate beneficial actions
during public health emergencies, thereby significantly reducing the adverse influences of …

Centrality and influence spread are two of the most studied concepts in social network
analysis. Several centrality measures, most of them, based on topological criteria, have …

The concept of celebrities has shaped societies throughout history. This work addresses the
problem of celebrity identification from social media interactions.“Celebritiness” is a …

Online social networking (OSN) websites such as Twitter and Facebook are known to have a
wide heterogeneity in the popularity of their users, which is counted typically in terms of the …