Recommender systems provide personalized information access to users of Internet
services from social networks to e-commerce to media and entertainment. As is appropriate …

In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …

Recommender systems are personalized information access applications; they are
ubiquitous in today's online environment, and effective at finding items that meet user needs …

While social media make it easy to connect with and access information from anyone, they
also facilitate basic influence and unfriending mechanisms that may lead to segregated and …

Guided by literature on “fatigue” from within the domains of clinical and occupational studies,
the present article seeks to define the phenomenon termed social network fatigue in the …

When you share content in an online social network, who is listening? Users have scarce
information about who actually sees their content, making their audience seem invisible and …

Recently, Twitter has emerged as a popular platform for discovering real-time information on
the Web, such as news stories and people's reaction to them. Like the Web, Twitter has …

With this paper we take a first step to understand the appropriation of social media by the
police. For this purpose we analyzed the Twitter communication by the London Metropolitan …

The users of microblogging services, such as Twitter, use the count of followers of an
account as a measure of its reputation or influence. For those unwilling or unable to attract …

This study is an examination of the evolution of one novice's teacher's informal mentoring
network on Twitter. The study followed a novice mathematics teacher over a nine month …