Social Networks: Modelling and Analysis

— —

Niyati Aggrawal (Jaypee Institute of Information Technology, India) Adarsh Anand (University of Delhi, Delhi, India)

Social Networks

Modelling and Analysis

Niyati Aggrawal (Jaypee Institute of Information Technology, India), Adarsh Anand (University of Delhi, Delhi, India), Adarsh Anand (University of Delhi, Delhi, India)

$284

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
18 February 2022

Media studies; Mathematical modelling; Ethical & social aspects of computing

Series: Advanced Research in Reliability and System Assurance Engineering

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.

By: Niyati Aggrawal (Jaypee Institute of Information Technology India), Adarsh Anand (University of Delhi, Delhi, India), Adarsh Anand (University of Delhi, Delhi, India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 520g
ISBN: 9780367541392
ISBN 10: 0367541394
Series: Advanced Research in Reliability and System Assurance Engineering
Pages: 236
Publication Date: 18 February 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.