£119.46

Springer : From Sociology to Computing in Social Networks

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Description

Explore the intersection of social science and computer science with this comprehensive work from Springer. Part of the Lecture Notes in Social Networks series, this book provides a deep look into social networking analysis by combining experimental research with theoretical foundations. Readers will gain insights into emerging trends and the specific needs of the industry regarding data mining techniques. The text covers essential advancements in the discovery and analysis of communities, helping professionals understand how networks function and evolve. Beyond community structure, the book examines the personalization of both solitary activities, such as searches, and social activities, like finding potential friends. It also provides a detailed look at user behavior within open fora, including blogs, conventional sites, and other digital platforms. This resource is designed for those looking to understand the practical applications of data mining in modern social environments.

Key Features

Combines experimental and theoretical research to provide a well-rounded view of social networking analysis.

Focuses on emerging industry trends and the practical application of data mining techniques.

Covers advanced methods for the discovery and analysis of social communities.

Explains the personalization of search activities and social discovery processes.

Provides analysis of user behavior across various open platforms like blogs and conventional sites.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 July 2010
Listed Since
08 June 2010

Barcode

No barcode data available

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