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Ken Cherven Mastering Gephi Network Visualization (Digital) (UK IMPORT)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Mastering Gephi Network Visualization
Publication Name
Mastering Gephi Network Visualization
Title
Mastering Gephi Network Visualization
Author
Ken Cherven
Format
Trade Paperback
EAN
9781783987344
ISBN
9781783987344
Publisher
Packt Publishing, The Limited
Genre
Computing & Internet
Release Date
02/04/2023
Release Year
2023
Language
English
Country/Region of Manufacture
GB
Item Height
235mm
Item Length
191mm
Publication Year
2015
Type
Textbook
Number of Pages
378 Pages

About this product

Product Information

Produce advanced network graphs in Gephi and gain valuable insights into your network datasets Key Features Build sophisticated interactive network graphs using advanced Gephi layout features Master Gephi statistical and filtering techniques to easily navigate through even the densest network graphs An easy-to-follow guide introducing you to Gephi's advanced features, with step-by-step instructions and lots of examples Book Description Mastering Gephi Network Visualization will take you through an overview of Gephi and network behavior, followed by detailed chapters addressing layouts, filtering, graph statistics, dynamic graphs, and more. You will begin with a concise overview of working with the Gephi interface. You will then see how to create your own graphs and understand the graph layouts to arrange a sample dataset. You will understand the theory behind Dynamic Network Analysis, followed by sample applications on how Gephi can be used to model these networks. You will also learn about the plugins that are most critical for network analysis and graph creation. Finally, you will put together all the previously learned concepts and gain insight on the future state of network graph analysis. After reading this book and following the examples provided, you will have the confidence and expertise to create your own compelling graphs. What you will learn Familiarize yourself with the Gephi interface Understand the plugins that are most critical for network analysis and graph creation Assess your own network graph needs Examine key network behaviors such as contagion, diffusion, and clustering Effectively display a sample dataset using your own graphs Identify and analyze network patterns Use Gephi's powerful filtering capabilities to improve your graphs Create dynamic graphs with time-based network data Export your graphs for use beyond Gephi

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1783987340
ISBN-13
9781783987344
eBay Product ID (ePID)
209731297

Product Key Features

Author
Ken Cherven
Publication Name
Mastering Gephi Network Visualization
Format
Trade Paperback
Language
English
Publication Year
2015
Type
Textbook
Number of Pages
378 Pages

Additional Product Features

Topic
Data Modeling & Design, Networking / General, Graphic Methods, Programming / Open Source, General
Genre
Computers, Mathematics, Social Science

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  • GB 864 1548 11
Rarewaves Canada

Rarewaves Canada

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Product is 95% alike picture but a little more blurry. Controller play well but had a notice from psn that my joypad wasn't authentic and could by problematic🤷‍♂️ no trouble so far! Shipping was fast but no tracking and worst packaging ever.. like the box came banged up... send a question to seller never had a reply 😅.... Good product overall, excellent price, fast shipping, wrapped only on 4 sides out of 6, no tracking and never reply... 4★ product / 2★ seller ✌️
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The book is in perfect condition, brand new, and is exactly as described. This item is difficult to find here, and the seller priced it very reasonably. It shipped from the UK to Canada, and unfortunately took a little longer to arrive than the seller hoped, but it was shipped less than 24 hours after I purchased. When I contacted the seller, they were very responsive and helpful. I would not hesitate to purchase from this seller again. Definitely recommend!
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