In this paper, we extend previous models to predict the popularity of user-generated content for online social networks (OSNs). We focus on Twitter as the most popular and widely used micro-blogging online social network, and specifically measure the popularity of a brand’s tweet by analyzing...

Today’s social media platforms are excellent vehicles for businesses to build and foster relationship with costumers. Companies create official fan pages on social network websites to provide customers with information about their brands, products, promotions, and more. Customers can become...

The purpose of this article is to develop models that can help team selectors build talented teams with minimum possible spending. In this study, we build several predictive models for predicting the selection of a player in the Indian Premier League, a cricket league, based on each player’s...

Online social networks (OSNs) produce a huge volume of content and clickstream data over time as a result of continuous social interactions between users. Because these social interactions are not fully observable, the mining of such social streams is more complex than traditional data streams....

In physics, at the beginning of the twentieth century it was recognized that some experiments could not be explained by the conventional classical mechanics but the same could be explained by the newly discovered quantum theory. It resulted into a new mechanics called quantum mechanics that...

This paper explores how technologies can interrupt concentration, focus and attention of knowledge workers. The mechanisms by which an interruption takes attention away and the task performance decreases are unknown. The paper explores this impact of interruptions through neuroimaging. Subjects...