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Springer - From Sociology to Computing in Social Networks

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Description

Explore the intersection of social science and computer science with From Sociology to Computing in Social Networks. This academic work provides a deep analysis of social networking and the latest trends in data mining. By combining experimental research with theoretical foundations, this book serves as a comprehensive guide for understanding how social structures interact with digital systems. Readers will examine essential topics such as social network modeling and the identification of dynamic growth and evolution patterns. The text also covers the construction of customizable social network infrastructure, making it a valuable resource for those studying the technical and sociological aspects of modern connectivity. Whether you are interested in the industry needs of data mining or the mathematical models behind network growth, this volume offers detailed insights into the evolving landscape of social data.

Key Features

Covers essential social network modeling techniques to help understand digital connectivity.

Analyzes dynamic growth and evolution patterns within modern social networks.

Provides guidance on constructing customizable social network infrastructure.

Integrates experimental and theoretical research to address industry needs in data mining.

Explores emerging trends in data mining and their application to social networking analysis.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 October 2016
Listed Since
19 December 2016

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No barcode data available

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