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 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...