Tutorials for Gephi, open and collaborative

These tutorials are created to help Gephi users learn how to use the software and its plugins. The project is just starting but it aims at producing tutorials in several languages, covering the basics and advanced use cases.

Open

These tutorials are open: they can be used to teach in class or in professional training sessions. Gephi users are welcome to contribute their knowledge: by using Github, we can all collaborate and edit these documents to improve on them. Don't know where to start? Authoring with Github is explained here.

Multi-languages

The first tutorials will be in French and English, as these are languages I can cover. Adding new languages is easy, just add a folder in the Github repository and translate the documents.

Tutorials available in web pages, pdf, slides, and ebooks!

The tutorials are not written with MS Word or with PowerPoint. We choose instead asciidoc, a slightly technical way of writing, in plain text files (files ending with .txt). Why? Because then, it is easier to convert these tutorials in slides, web pages, ebooks, pdf and MS Word docx as well. Basically, sharing and collaborating online becomes easier, without being blocked by a proprietary file format.

Table of contentEnglish

• How should Gephi be pronounced? ( web, slides, source)

• To begin with gephi

  • What is Gephi? ( web, slides, pdf, source)

  • Origins of Gephi ( web, slides, pdf, source)

  • A simple project from A to Z ( web, slides, pdf, source)

• Key use cases

  • Importing csv data into Gephi ( web, slides, pdf, source)

  • Using filters ( web, slides, pdf, source)

  • Creating semantic networks (textual data) ( web, slides, pdf, source)

• Learn how to use plugins for Gephi

  • A plugin to work with K-partite and bi-partite graphs ( web, slides, pdf, source)

  • A plugin to collect, visualize and export tweets and networks of Twitter users ( web, slides,pdf, source)

  • A plugin to write SPARQL queries and visualize the results as RDF triplets ( web, slides, pdf, source)

  • A plugin to create a network from a data table in Excel or csv, based on attribute similarities( web, slides, pdf, source)

  • A plugin to create a network from a data table in Excel or csv, based on co-occurrences (web, slides, pdf, source)

• Dynamic networks

  • Creating a simple dynamic network ( web, slides, pdf, source)

  • Converting a network with dates into a dynamic network ( web, slides, pdf, source)

• Gephi for developers

  • Working from the source ( web, slides, pdf, source)

转载本文请联系原作者获取授权，同时请注明本文来自李杰科学网博客。
链接地址：https://blog.sciencenet.cn/blog-554179-1057954.html

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