Social Network Analytics Computational Research Methods and Techniques

Langue : Anglais

Couverture de l’ouvrage Social Network Analytics

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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

Researchers, engineers, network, and software developers focused on development of social networks and social media

Nilanjan Dey is an 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, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.
Samarjeet Borah is an Associate Professor in the Department of Computer Applications, Sikkim Manipal University, India. His areas of interest include data mining, bioinformatics, intrusion detection and natural language processing. Dr. Borah has published 27 research papers in various national/international journals and 30 research papers in national/international conferences.
Rosalina Babo is the head of the Information Systems Department and ISCAP/IPP and has been a member of the university scientific board for more than 12 years. She was one of the founders (2006) of the CEISE/STI research center and was its director through 2011. Her main areas of research are e-learning, usability, e-co

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