Social Network Analysis and Mining: Privacy and Security on Twitter

Abstract

As technologies advance rapidly, privacy and security issues have become one of the top concerns in the digital communication today. Thus, we are trying to understand and drawing a conceptual view that relies on how people perceive privacy and security in this era of dynamic digital proliferation. In order to analyze and see what a person's impression regarding the privacy and security of online merchants, online social network, and other digital media, this research uses one of the most widely used social network, Twitter, to analyze Twitter users' interactions with one another for the purpose of extracting meaningful data to aid in determining users' perception to privacy and security of the digital world. Based on this analysis, we have constructed our study and drawn our conclusions. This research uses statistical learning approach to analyze tweets and efficiently discover privacy and security issues of online merchants, social network, and other prominent digital media outlets. For gathering the essential information, more than two million relevant tweets through the span of two years were used to conduct the study. The results of this research show significant implications for privacy and security from tweeter users' perception.