Social Networks
Modelling and Analysis
1st Edition
Published on 17. February 2022
254 pages
978-1-000-53999-8 (ISBN)
Description
The goal of this book is to provide a reference for applications of mathematical modelling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.
Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed.
Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.
Social Networks: Modelling and Analysis provides the essential knowledge of network analysis applicable to real-world data, with examples from today's most popular social networks such as Facebook, Twitter, Instagram, YouTube, etc. The book provides basic notation and terminology used in social media and its network science. It covers the analysis of statistics for social network analysis such as degree distribution, centrality, clustering coefficient, diameter, and path length. The ranking of the pages using rank algorithms such as Page Rank and HITS are also discussed.
Written as a reference this book is for engineering and management students, research scientists, as well as academicians involved in complex networks, mathematical sciences, and marketing research.
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
6 Tables, black and white; 202 Line drawings, black and white; 4 Halftones, black and white; 206 Illustrations, black and white
ISBN-13
978-1-000-53999-8 (9781000539998)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
10/2024
1st Edition
CRC Press
€84.60
Shipment within 15-20 days
Book
02/2022
1st Edition
CRC Press
€206.50
Shipment within 15-20 days
Persons
Dr. Niyati Aggrawal is an accomplished and integrity-driven academic professional with over 10 years of rich experience in varied fields of social network analysis, social media mining, information diffusion on social media, web mining techniques and information security. She has guided various graduate projects in the fields of social network analysis and data mining. She has published several research papers in many reputed international journals and conferences related to the above- mentioned research areas. She has actively participated in various conferences, faculty develop-ment programs and workshops.
Dr. Adarsh Anand completed his doctorate in the area of Innovation Diffusion Modelling in Marketing and Software Reliability Assessment. Presently, he is working as an assistant professor in the Department of Operational Research, University of Delhi (India). In 2012, he was conferred with the Young Promising Researcher in the field of Technology Management and Software Reliability by Society for Reliability Engineering, Quality and Operations Management (SREQOM). He is a lifetime member of SREQOM. He is also on the editorial board of the International Journal of System Assurance and Engineering Management (Springer). He has guest edited several special issues for journals of international repute. He has edited two books, System Reliability Management (Solutions and Technologies) and Recent Advancements in Software Reliability Assurance, under the banner of Taylor and Francis (CRC Press). He has publications in journals of national and international repute. His research interests include modelling innovation adoption and successive generations in marketing, software reliability growth modelling and social media analysis.
Dr. Adarsh Anand completed his doctorate in the area of Innovation Diffusion Modelling in Marketing and Software Reliability Assessment. Presently, he is working as an assistant professor in the Department of Operational Research, University of Delhi (India). In 2012, he was conferred with the Young Promising Researcher in the field of Technology Management and Software Reliability by Society for Reliability Engineering, Quality and Operations Management (SREQOM). He is a lifetime member of SREQOM. He is also on the editorial board of the International Journal of System Assurance and Engineering Management (Springer). He has guest edited several special issues for journals of international repute. He has edited two books, System Reliability Management (Solutions and Technologies) and Recent Advancements in Software Reliability Assurance, under the banner of Taylor and Francis (CRC Press). He has publications in journals of national and international repute. His research interests include modelling innovation adoption and successive generations in marketing, software reliability growth modelling and social media analysis.
Content
1. Introduction to Social Networks, 2. Network Statistics and Related Concepts. 3. Network Models. 4. Network Centrality. 5. Link Analysis. 6. Link Prediction. 7. Community Detention. 8. Ego Networks. 9. Network Cohesion. 10. Information Diffusion. 11. Security and Privacy in Social Network. 12. Social Network Analysis Tools.
