CHF 239.00

Advances in Social Networks Analysis and Mining
Proceedings of the 16th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2024 Volume 1

English · Hardback

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Description

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This book explores the evolution of social network analysis and mining (SNAM), a field that originated in social and business communities but has expanded significantly in recent years. The rise of online social platforms, email logs, phone records, and instant messaging systems has driven the development of advanced techniques for analyzing social networks, drawing heavily on graph theory and machine learning.
As the Web increasingly becomes a social medium, it fosters human interaction, the sharing of experiences and knowledge, and the formation and evolution of communities. This transformation has amplified the importance of SNAM in fields such as academia, politics, homeland security, and business, where understanding the complex relationships between networked actors is crucial.
This volume presents a comprehensive collection of cutting-edge research and developments in SNAM, offering a valuable resource for researchers and practitioners seeking to deepen their understanding of social networks and their applications.

Summary

This book explores the evolution of social network analysis and mining (SNAM), a field that originated in social and business communities but has expanded significantly in recent years. The rise of online social platforms, email logs, phone records, and instant messaging systems has driven the development of advanced techniques for analyzing social networks, drawing heavily on graph theory and machine learning.
As the Web increasingly becomes a social medium, it fosters human interaction, the sharing of experiences and knowledge, and the formation and evolution of communities. This transformation has amplified the importance of SNAM in fields such as academia, politics, homeland security, and business, where understanding the complex relationships between networked actors is crucial.
This volume presents a comprehensive collection of cutting-edge research and developments in SNAM, offering a valuable resource for researchers and practitioners seeking to deepen their understanding of social networks and their applications.

Product details

Assisted by Panagiotis Karampelas (Editor), Min-Yuh Day (Editor), Min-Yuh Day et al (Editor), I-Hsien Ting (Editor), Reda Alhajj (Editor)
Publisher Springer, Berlin
 
Content Book
Product form Hardback
Publication date 30.04.2025
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software
 
EAN 9783031852398
ISBN 978-3-0-3185239-8
Pages 328
Illustrations XVII, 328 p. 110 illus., 103 illus. in color.
Dimensions (packing) 15.5 x 1.9 x 23.5 cm
Weight (packing) 694 g
 
Series Lecture Notes in Social Networks
Subjects Fake News, Social Media, machine learning, Maschinelles Lernen, Datenbanken, Social Security, Computer and Information Systems Applications, Data Analysis and Big Data, Behavior Analysis, polarized communities, information diffusion models, high-order networks
 

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