Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

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

In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

There is huge amount of content produced online by amateur authors, covering a large
variety of topics. Sentiment analysis (SA) extracts and aggregates users' sentiments towards …

The emergence of social media and the huge amount of data generated by them, has lead
researchers to study the possibility of their exploitation in order to identify hidden knowledge …

Social networks are increasingly used for discussing all kinds of topics, including those
related to politics, serving as a virtual arena. Consequently, analysing online conversations …

The influence maximization problem (IMP) aims to determine the most influential individuals
within a social network. In this study first we develop a binary integer program that …

Influence Maximization (IM) is the problem of finding a small set of highly influential users in
the social networks. The influence spreads according to an explicit influence propagation …

Measuring centrality has recently attracted increasing attention, with algorithms ranging from
those that simply calculate the number of immediate neighbors and the shortest paths to …

The emerging social networks promptly create greater opportunities for fast-developing viral
marketing. The online social networks (OSNs) play an essential role in the information …