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Computational Models for Social Network Analysis Book

Amazon

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Description

Computational Models for Social Network Analysis provides essential frameworks and methodologies for understanding complex social structures through quantitative analysis. This reference work from Society Publishing equips researchers, academics, and professionals with the theoretical foundations and practical applications needed to model social networks computationally. Whether you are studying organisational dynamics, community formation, or information diffusion across populations, this book offers rigorous approaches to extracting meaningful patterns from social data. The text bridges sociology and computational science, making it an invaluable resource for students pursuing advanced studies in social sciences, data scientists working with network data, and policy analysts examining social phenomena. Perfect for university libraries, research institutions, and professionals seeking to deepen their understanding of how mathematical and computational methods reveal the underlying structure and behaviour of social systems.

Key Features

Computational Models for Social Network Analysis serves as a comprehensive reference guide for students and professionals in sociology and social sciences.

Society Publishing's work combines theoretical frameworks with practical computational techniques for analysing social structures and relationships.

The book addresses methodologies essential for understanding network patterns, community detection, and information flow within social systems.

This reference supports researchers applying quantitative methods to real-world social phenomena and organisational network challenges.

Ideal for academic libraries, graduate programmes, and professionals developing skills in data-driven social analysis and network modelling.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 March 2024
Listed Since
14 October 2023

Barcode

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