A Framework-based Mapping and Filtering for Social Media

Abstract

The aim of this paper is to develop a framework to extract value from social media data based on mapping and filtering, using the data processing approach based on MapReduce. In order to test the application of this framework, researchers used NodeXL to obtain and analyze data from Twitter. The results show the application of framework to capture relevant data for efficient decision-making. 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 data flows across the social media and how to analyze this data.