From Security to Community Detection in Social Networking Platforms

Nonfiction, Computers, Database Management, General Computing, Social & Cultural Studies, Social Science
Cover of the book From Security to Community Detection in Social Networking Platforms by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783030112868
Publisher: Springer International Publishing Publication: April 9, 2019
Imprint: Springer Language: English
Author:
ISBN: 9783030112868
Publisher: Springer International Publishing
Publication: April 9, 2019
Imprint: Springer
Language: English

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. 

The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book focuses on novel and state-of-the-art scientific work in the area of detection and prediction techniques using information found generally in graphs and particularly in social networks. Community detection techniques are presented in diverse contexts and for different applications while prediction methods for structured and unstructured data are applied to a variety of fields such as financial systems, security forums, and social networks. The rest of the book focuses on graph-based techniques for data analysis such as graph clustering and edge sampling. 

The research presented in this volume was selected based on solid reviews from the IEEE/ACM International Conference on Advances in Social Networks, Analysis, and Mining (ASONAM '17). Chapters were then improved and extended substantially, and the final versions were rigorously reviewed and revised to meet the series standards. This book will appeal to practitioners, researchers and students in the field.

More books from Springer International Publishing

Cover of the book Service-Oriented Computing – ICSOC 2016 Workshops by
Cover of the book Heat and Mass Transfer in the Melting of Frost by
Cover of the book Organic Chemistry from Retrosynthesis to Asymmetric Synthesis by
Cover of the book Towards Bio-based Flame Retardant Polymers by
Cover of the book Shape in Medical Imaging by
Cover of the book ASA S3/SC1.4 TR-2014 Sound Exposure Guidelines for Fishes and Sea Turtles: A Technical Report prepared by ANSI-Accredited Standards Committee S3/SC1 and registered with ANSI by
Cover of the book Platelets in Thrombotic and Non-Thrombotic Disorders by
Cover of the book Proceedings of China-Europe Conference on Geotechnical Engineering by
Cover of the book Hydrocephalus by
Cover of the book Globular Cluster Binaries and Gravitational Wave Parameter Estimation by
Cover of the book Sociomaterial-Design by
Cover of the book Probability Distributions in Risk Management Operations by
Cover of the book River Contracts and Integrated Water Management in Europe by
Cover of the book Optimization Problems and Their Applications by
Cover of the book Decision Support Using Nonparametric Statistics by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy