Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. - Examines a variety of data analytic techniques that can be applied to social networks - Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change - Covers the most recent research on social network analysis and includes applications to a number of domains

Nilanjan Dey is Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He has authored/edited more than 70 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global), Associated Editor of IEEE Access, and International Journal of Information Technology (Springer). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer), Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier), Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal Processing and Data Analysis (CRC). His main research interests include medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing-Young ICT Group and Senior member of IEEE.

1. Classification and Analysis of Facebook Metrics Dataset using Supervised Classifiers 2. An Overview on Social Networking: Design, Issues, Emerging Trends and Security 3. The emergence of stable and glassy states in dynamics of social networks 4. De-Anonymization Techniques for Social Networks 5. An Analysis of Demographic and Behaviour Trends using Social Media: Facebook, Twitter and Instagram 6. Social Network Influence on Mode Choice and Carpooling during Special Events: The Case of Purdue Game Day 7. Sentiment Analysis on a set of Movie Reviews using Deep Learning techniques 8. Sentiment Analysis for Airlines service based on twitter dataset 9. Multilateral Interactions and Isolation in Middlemen driven Network Games 10. The Interplay of Identity and Social Network: A Methodological and Empirical study 11. Social Networks and Their Uses in the Field Of Secondary Education 12. NGOs communication and youth engagement in the digital ecosystem