Unsolicited or unwanted messages is a byproduct of virtually every popular social media website. Spammers have become increasingly proficient at bypassing conventional spam filters, prompting a stronger effort to develop new methods that accurately detect spam while simultaneously acting as a more robust classifier against users that modify their behavior in order to avoid detection. This paper...

Appropriate ranking algorithms and incentive mechanisms are essential to the creation of high-quality information by users of a social network. However, evaluating such mechanisms in a quantifiable way is a difficult problem. Studies of live social networks of limited utility, due to the subjective nature of ranking and the lack of experimental control. Simulation provides a valuable alternativ...

Researchers need to examine trends and novel technologies of their own research areas. With the rapid growth of the Web, however, large amounts of information are generated daily. Therefore, it is generally difficult for researchers to obtain information related to their own areas and novel technologies from huge data residing in the Web. Furthermore, they often try to apply the technologies of...

Consumer use of Web 2.0 and social media is well documented. However, the use of such technologies by SMEs has received relatively little attention and the literature has focused on the major social media platforms such as Facebook and Twitter. In this paper the focus is on a different type of social media website, which is termed SME Social Media Platforms. These are websites designed specific...

With the explosion of social media in the last few years, web pages nowadays include different social network buttons where users can express if they support or recommend content. Those social buttons are very visual and their presentations, along with the counters, mark the importance of the social network and the interest on the content. In this paper, we analyze the presence of four types of...

One of the core goals of the Semantic Web is to store data in distributed locations, and use ontologies and reasoning to aggregate it. Social networking is a large movement on the web, and social networking data using the Friend of a Friend (FOAF) vocabulary makes up a significant portion of all data on the Semantic Web. Many traditional webbased social networks share their members’ information...