https://github.com/robwiederstein/network_analysis
Deep dive into network analysis using igraph's R package.
https://github.com/robwiederstein/network_analysis
igraph igraphdata network-analysis r tutorial visualization
Last synced: 11 months ago
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Deep dive into network analysis using igraph's R package.
- Host: GitHub
- URL: https://github.com/robwiederstein/network_analysis
- Owner: RobWiederstein
- Created: 2020-12-18T14:10:27.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2021-01-23T14:12:51.000Z (about 5 years ago)
- Last Synced: 2025-02-16T19:27:05.177Z (about 1 year ago)
- Topics: igraph, igraphdata, network-analysis, r, tutorial, visualization
- Language: TeX
- Homepage: https://robwiederstein.github.io/network_analysis/
- Size: 85.8 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Background
This is a tutorial on network analysis and visualization. Or more accurately, it is a collection of others' tutorials.
To start, the tutorial will rely on "[Gephi](https://gephi.org)," an open-source, visualization and exploration software for all kinds of graphs and networks. The lastest version .092 was released in September, 2017, and it allows for spreadsheets to be imported. Install Gephi. Gephi hosts a [repository](https://github.com/gephi/gephi) on github and an informative [wiki](https://github.com/gephi/gephi/wiki).
# Recommended tutorials
The first tutorial is an introduction to gephi and uses LesMiserables sample dataset. The dataset is the coappearance weighted network of characters in the novel Les Miserables. D. E. Knuth, The Stanford GraphBase: A Platform for Combinatorial Computing, Addison-Wesley, Reading, MA (1993). Quick start [guide](https://gephi.org/users/quick-start/). An updated video of the tutorial can be found [here](https://www.youtube.com/watch?v=371n3Ye9vVo&feature=youtu.be), if you have problems.
[Martin Grandjean](http://www.martingrandjean.ch/gephi-introduction/)
Gephi [Tutorial](https://www.youtube.com/watch?v=HJ4Hcq3YX4k&list=PLjs-3YZ-rWutIpBEl7gZJdXFva1ZmzcFg&index=2&t=34s) on Network Visualization and Analysis with Professor Jengol Beck. She has an entire course with supporting materials [here](http://www.cs.umd.edu/~golbeck/INST633o/Viz.shtml). Additionally, there is a [playlist](https://www.youtube.com/playlist?list=PLk_jmmkw5S2BqnYBqF2VNPcszY93-ze49) of youtube videos introducing gephi. (There's an interesting final tutorial on Twitter Streaming Importer??)
# Acknowledgements
[Sigmajs](http://sigmajs.org)
[Gephi](https://gephi.org)