From Sociology to Computing in Social Networks: Theory, Foundations and Applications: 01 (Lecture Notes in Social Networks)

Book Details

• Publisher: Springer

• Author: Nasrullah Memon

• Language: English

• Edition: 1

• ISBN: 9783709102930

• Pages: 430

• Cover: Hardcover

• Dimensions: 9.4 x 6.4 x 0.9 inches

About The Book

Social Network Analysis: Data Mining and Emerging Trends explores the pivotal aspects of social network analysis by combining both experimental and theoretical research to provide a comprehensive understanding of the field. This work delves into the emerging trends and industry needs surrounding the use of data mining techniques, offering a timely exploration of how these methods can be applied to social networks.

The book covers various advanced data mining techniques, focusing on community discovery and analysis, the personalization of solitary activities like searches, and social activities such as identifying potential friends. It also examines user behavior across diverse platforms, including conventional sites, blogs, forums, and commercial platforms like e-auctions. One of the major themes of the book is addressing the security and privacy challenges that arise in these environments, alongside social network modeling and the development of scalable, customizable infrastructures.

With an emphasis on machine learning approaches and multi-agent based simulations, this book provides insights into the dynamic growth and evolution patterns within social networks. A valuable resource for both practitioners and researchers, it offers cutting-edge perspectives on how social networks function, evolve, and influence various sectors.