IFN643 Report: An Investigation on Community Detection in Social Media

This report provides an in-depth literature review, analysis, and discussion on community detection in social media via text mining. It explores the background of social media development, virtual communities, and the importance of understanding community detection. The research addresses key questions such as the role of community detection, its applications, the relationship between text mining and data mining, and various community detection methods. The report examines user-centric and item-centric approaches, content-based community detection, and the application of text mining techniques like information extraction and clustering. It also discusses the methodology, literature review results, and applications of community detection, including detecting suspicious events, recommendation systems, and criminology. The conclusion highlights the usefulness of community detection in social media mining and its applicability in various fields.