Analyzing the Virus Spread over Facebook Social Network using Descriptive Data Mining Techniques

Abstract

Social networking currently has become one of the most popular forms ofcommunication among users on the Internet. Accordingly, with the exponential growth of users participating in the social networks and their exposure of sensitive personal information online has added additional value to the security breach issue.Namely, by curiously accessing various fraudulent links or applications that socialnet working sites offer to their users has provided a "Petri plate" for rapid spread of infectious viruses. To make things even more complicated, the friend-of-a-friend structure of these types of networks is correlated both with the speed of spreading,as well as the direction of spreading of the viruses. Therefore, this instigated the conduction of the survey on how viruses spread across the Facebook network, out of which some descriptive data mining statistics were gained and analyzed in the IBM's SPSS Statistics tool, along with a comparison of these results between the examined participating countries (Macedonia, Albania and Kosovo).