METHODS OF SOCIAL NETWORK DATA ANALYSIS
Abstract
Social network data analysis encompasses a range of methods for examining and interpreting the vast amount of data generated on social media platforms. This thesis explores the primary methods used for social network data analysis, detailing processes for data collection, analysis, and visualization. Emphasis is placed on the practical applications and comparative effectiveness of different analytical techniques. A comparison table summarizing the key characteristics of these methods is included to facilitate understanding.
References
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons.
Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers.
Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval.
Leskovec, J., Rajaraman, A., & Ullman, J. D. (2014). Mining of Massive Datasets. Cambridge University Press.
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.