Mastering Gephi Network Visualization

Mastering Gephi Network Visualization
Author: Ken Cherven
Publisher: Packt Publishing Ltd
Total Pages: 378
Release: 2015-01-28
Genre: Computers
ISBN: 1783987359


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This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.


Mastering Gephi Network Visualization
Language: en
Pages: 378
Authors: Ken Cherven
Categories: Computers
Type: BOOK - Published: 2015-01-28 - Publisher: Packt Publishing Ltd

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This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectivel
Gephi Cookbook
Language: en
Pages: 296
Authors: Devangana Khokhar
Categories: Computers
Type: BOOK - Published: 2015-05-27 - Publisher: Packt Publishing Ltd

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If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with l
Complex Network Analysis in Python
Language: en
Pages: 330
Authors: Dmitry Zinoviev
Categories: Computers
Type: BOOK - Published: 2018-01-19 - Publisher: Pragmatic Bookshelf

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Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets
Digital Islamophobia
Language: en
Pages: 218
Authors: Emily Lynell Edwards
Categories: Social Science
Type: BOOK - Published: 2023-10-24 - Publisher: Walter de Gruyter GmbH & Co KG

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The rise of far-right communities on digital platforms is a global crisis. Digital Islamophobia tracks far-right groups where they are a virtual and vicious thr
Networks in the Global World V
Language: en
Pages: 366
Authors: Artem Antonyuk
Categories: Computers
Type: BOOK - Published: 2021-02-19 - Publisher: Springer Nature

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This proceedings book presents state-of-the-art developments in theory, methodology, and applications of network analysis across sociology, computational scienc