Information diffusion, information spread, and influencers are important concepts in many
studies on social media, especially Twitter analytics. However, literature overviews on the …

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

Modeling retweeting behaviors is important for understanding and predicting how
information spreads on social media platforms. The present study contributes to the literature …

Identifying influential users in online social networks, specifically Twitter, has drawn
considerable research interest due to their profound influence on real-world events. Existing …

Is there any type of relationship between the academic productivity of business researchers
and their social networking activity? What does this mean in terms of open innovation? With …

Viral marketing is a frequently used social marketing strategy which aims to promote
products on various social media. In order to devise an efficient viral marketing strategy …

When information dissemination campaigns on Online Social Networking platforms are too
aggressive, this can easily cause information overexposure. Overexposure can break …

The influence maximization problem that selects a set of seed nodes to maximize the
influence spread has been becoming a hot research topic. The classical algorithms select …

Purpose The social media revolution has brought tremendous change in business strategies
for marketing and promoting the products and services. Online social networks have …

Social Internet of Things (SIoT) is an emerging application area that supports the spread of
multimedia information. Detecting critical nodes based on the results of influence prediction …