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Springer Finding Communities in Social Networks Using Graph Embeddings

Amazon

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£133.11 £130.05 £130.72 £131.39 £132.05 £132.72 £133.39 27 July 2026 14 August 2026 01 September 2026 19 September 2026 07 October 2026
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Description

This Springer lecture note explores advanced techniques for identifying and analysing community structures within social networks using graph embedding methods. The text provides a comprehensive examination of how graph embeddings can reveal hidden patterns and relationships in complex network data, offering researchers and practitioners essential tools for understanding social network topology. Ideal for academic researchers, data scientists, and students studying network analysis, this volume bridges theoretical foundations with practical applications in social network analysis and graph theory.

Key Features

Springer publication delivering peer-reviewed academic content on graph embedding methodologies for social network research.

Lecture notes format enables structured learning progression through complex social network graph theory concepts.

Valuable resource for researchers studying anthropology, sociology, and computational social science applications.

Covers theoretical frameworks and practical approaches to identifying community structures in large-scale social networks.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 July 2025
Listed Since
09 August 2025

Barcode

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