The Science and Information (SAI) Organization
Spam is one of the main problems of the WWW. Many studies exist about characterizing and detecting several types of Spam (mainly Web Spam, Email Spam, Forum/Blob Spam and Social Networking Spam). Nevertheless, to the best of the authors' knowledge, there are no studies about the detection of Spam in LinkedIn. In this paper, they propose a method for detecting Spammers and Spam nets in the LinkedIn social network. As there are no public or private LinkedIn datasets in the state of the art, they have manually built a dataset of real LinkedIn users, classifying them as Spammers or legitimate users.