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Social Network Analytics

Computational Research Methods and Techniques

Autorzy: Nilanjan Dey, Samarjeet Borah, Rosalina Babo, Amira Salah Ashour Wydawnictwo: Elsevier Science Data wydania: 2018 Język publikacji: Angielski Liczba stron: 267 Formaty publikacji: EAN: 9780128156414 ISBN: 9780128156414 Kategoria: Databases & the Web Internet: general works Indeks wydawcy: 9780128156414 Nota bibliograficzna: Amira S. Ashour is currently an Assistant Professor and Head of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She was the Chair of Computer Engineering Department- female section, Computers and Information Technology (CIT) College, Taif University, KSA for one year from 2015. She was the Chair of Computer Science Department - female section, CIT College, Taif University, KSA for 5 years. She has authored/edited more than 20 books with Elsevier, and Springer, and published more than 150 papers in repute journals.
Ashour is a Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is an Associate Editor and reviewer in several journals. Her research interests include Biomedical Engineering, Computer- aided diagnosis systems, Image processing, Medical imaging, Machine learning, Optimization, Neutrosophic theory, Smart antenna, Direction of arrival estimation, and Targets tracking.

Opis

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

Afiljacja autora

Nilanjan Dey: Department of Information Technology, Techno India College of Technology, India
Samarjeet Borah: Associate Professor, Department of Computer Applications, Sikkim Manipal University, India
Rosalina Babo: Coordinator Professor, School of Accounting and Administration of Porto / Polytechnic of Porto (ISCAP/IPP), Portugal