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 …

The advent and availability of technology has brought us closer than ever through social
networks. Consequently, there is a growing emphasis on mining social networks to extract …

In the era of advanced mobile technology, freedom of expression over social media has
become prevalent among online users. This generates a huge amount of communication …

Social media streams, such as Twitter, Facebook, and Sina Weibo, have become essential
real-time information resources with a wide range of users and applications. The rapidly …

Two of the main challenges in retrieval on microblogs are the inherent sparsity of the
documents and difficulties in assessing their quality. The feature sparsity is immanent to the …

Creating systems that can interpret and manage the ambiguity and subjectivity of the
representation and retrieval of information is one of the issues facing information systems …

The millions of tweets submitted daily overwhelm users who find it difficult to identify content
of interest revealing the need for event detection algorithms in Twitter. Such algorithms are …

This paper presents a social approach for identifying key actors in microblogging social
network. In particular, we propose three specific link analysis algorithms called InfRank …

Increasing average temperatures and heat waves are having devasting impacts on human
health and well-being but studies of heat impacts and how people adapt are rare and often …