Mapping Twitter Topic Network for Information Sharing using NodeXL

Abstract

Social media has a potential to be used as a professional and social networking to share interest. Users share similar interests on the Internet use social media such as Twitter. Despite the various existing methodologies on social media, there are many opportunities that need to be explored. The aim of this paper is to map the information shared on social media in order to identify relevant information. In order to achieve this aim, we examine user trends on sharing information on social media. We use NodeXL to obtain and analyse information from Twitter. The outcome of this paper contributes to a significant achievement that provides an important innovation in research methods in big data era to trace how information is shared across the social media and how to retrieve this information to assist decisionmaking process.