Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
—In this paper, we present a collaborative social networking environment, referred to as Quality Social Network (QSN), which enhances the social tagging paradigm by using it as a...
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to ...