Modeling and Analysis
- Available for pre-order. Item will ship after February 18, 2022
The goal of this book is to provide a reference for applications of mathematical modeling in social media and related network analysis and offer a theoretically sound background with adequate suggestions for better decision-making.
Social Networks: Modeling and Analysis provide 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 like Page Rank and HITS are also discussed.
Written as a reference this book is for Engineering and Management Students, Research Scientists, Academicians involved in complex networks, mathematical sciences, and marketing research.
Table of Contents
1.Introduction to Social Networks, 2.Network Statistics and Related Concepts, 3.Network Models, 4.Network Centrality, 5.Link Analysis, 6.Link Prediction, 7.Communtiy Detention, 8.Ego Networks, 9.Network Cohesion, 10.Information Diffusion, 11.Security and Privacy in Social Network, 12.Social network analysis Tools
Niyati Aggrawal - 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 had guided various graduate projects in field of Social Network Analysis and Data Mining. She has published several research papers in many reputed international journals and conferences related to above mentioned research areas. She has been actively participated in various conferences, faculty development programs and workshops. Adarsh Anand did his doctorate in the area of Software Reliability Assessment and Innovation Diffusion Modeling in Marketing. Presently he is working as an Assistant Professor in the Department of Operational Research, University of Delhi (INDIA). He has been conferred with Young Promising Researcher in the field of Technology Management and Software Reliability by Society for Reliability Engineering, Quality and Operations Management (SREQOM) in 2012. He is a lifetime member of the Society for Reliability Engineering, Quality and Operations Management (SREQOM). He is also on the editorial board of International Journal of System Assurance and Engineering management (Springer). He has Guest edited several Special Issues for Journals of international repute. He has publications in journals of national and international repute. His research interest includes software reliability growth modelling, modelling innovation adoption and successive generations in marketing, and social network analysis. He has worked with CRC Press for two editorial projects; “System Reliability Management: Solutions and Technologies” and “Recent Advancements in Software Reliability Assurance”. He has also authored one textbook with CRC Press; “Market Assessment with OR Applications”.