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.
1. Classification and Analysis of Facebook Metrics Dataset using Supervised Classifiers2. An Overview on Social Networking: Design, Issues, Emerging Trends and Security3. The emergence of stable and glassy states in dynamics of social networks4. De-Anonymization Techniques for Social Networks5. An Analysis of Demographic and Behaviour Trends using Social Media: Facebook, Twitter and Instagram6. Social Network Influence on Mode Choice and Carpooling during Special Events: The Case of Purdue Game Day7. Sentiment Analysis on a set of Movie Reviews using Deep Learning techniques8. Sentiment Analysis for Airlines service based on twitter dataset9. Multilateral Interactions and Isolation in Middlemen driven Network Games10. The Interplay of Identity and Social Network: A Methodological and Empirical study11. Social Networks and Their Uses in the Field Of Secondary Education12. NGOs communication and youth engagement in the digital ecosystem
