62,99 €
Gephi Cookbook
Gephi Cookbook
  • Išparduota
Gephi Cookbook
Gephi Cookbook
El. knyga:
62,99 €
Gephi is an open source, user-friendly network visualization and analysis tool that provides numerous powerful features, making it easy for novices to get to grips with graph analysis quickly.This book is your one-stop guide to learning Gephi's interactive networking and visualization, alongside the graph theory concepts that drive them. Each recipe walks you through a task and explains why and how it works. Starting with installing Gephi, you will learn how to begin analyzing a graph using Gep…

Gephi Cookbook (el. knyga) (skaityta knyga) | Devangana Khokhar | knygos.lt

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Gephi is an open source, user-friendly network visualization and analysis tool that provides numerous powerful features, making it easy for novices to get to grips with graph analysis quickly.This book is your one-stop guide to learning Gephi's interactive networking and visualization, alongside the graph theory concepts that drive them. Each recipe walks you through a task and explains why and how it works. Starting with installing Gephi, you will learn how to begin analyzing a graph using Gephi's various features. You will discover how to make informed decisions using layout algorithms and filters, and perform statistical analysis with real-world datasets. This guide is an invaluable resource if you would like to plunge into the network analysis domain without having to learn how to code.

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Gephi is an open source, user-friendly network visualization and analysis tool that provides numerous powerful features, making it easy for novices to get to grips with graph analysis quickly.This book is your one-stop guide to learning Gephi's interactive networking and visualization, alongside the graph theory concepts that drive them. Each recipe walks you through a task and explains why and how it works. Starting with installing Gephi, you will learn how to begin analyzing a graph using Gephi's various features. You will discover how to make informed decisions using layout algorithms and filters, and perform statistical analysis with real-world datasets. This guide is an invaluable resource if you would like to plunge into the network analysis domain without having to learn how to code.

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