https://github.com/ngmsonn/awesome_network_science
A curated list of awesome lists on Network Science.
https://github.com/ngmsonn/awesome_network_science
List: awesome_network_science
awesome network network-analysis network-sciences science
Last synced: 4 months ago
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A curated list of awesome lists on Network Science.
- Host: GitHub
- URL: https://github.com/ngmsonn/awesome_network_science
- Owner: ngmsonn
- Created: 2024-08-14T17:15:39.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T17:14:01.000Z (9 months ago)
- Last Synced: 2024-12-28T15:02:08.269Z (5 months ago)
- Topics: awesome, network, network-analysis, network-sciences, science
- Homepage:
- Size: 85 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome_network_science - A curated list of awesome lists on Network Science. (Other Lists / Julia Lists)
README
# Awesome Network Science
## Papers
* [Complex Networks: a Mini-review](https://link.springer.com/article/10.1007/s13538-020-00772-9?fromPaywallRec=true)
## Papers II
* [Network approaches for modeling the effect of drugs and diseases](https://academic.oup.com/bib/article/23/4/bbac229/6608969)
## Journals
* [Journal of Complex Networks](https://academic.oup.com/comnet)
* [Network Science](https://www.cambridge.org/core/journals/network-science)
* [Applied Network Science](https://appliednetsci.springeropen.com/)
## Books
* [Data Science and Complex Networks: Real Case Studies with Python](https://academic.oup.com/book/26566)
* [Network Analysis Made Simple](https://ericmjl.github.io/Network-Analysis-Made-Simple/)
* [A First Course in Network Science](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience)
* [Complex Networks: Principles, Methods and Applications](https://www.complex-networks.net/)
* [Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists](https://www.cambridge.org/core/books/analyzing-network-data-in-biology-and-medicine/ABAE98EB2CA60F408D933D37E7D193B1)
* [Theory of Complex Networks](https://www.mbfys.ru.nl/~acoolen/lecture_notes/London/ComplexNetworks2016.pdf)
* [Introduction to Cultural Analytics & Python](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)
## Courses
* [Youtube - Introduction to Social Network Analysis](https://www.youtube.com/playlist?list=PL4iQXwvEG8CQSy4T1Z3cJZunvPtQp4dRy)
* [Social and Technological Network Analysis](https://www.cl.cam.ac.uk/teaching/1415/L109/materials.html)
* [NetPy '24: Introduction to Network Science in Python](https://github.com/lovre/netpy24)
* [Youtube - Network Science 2021 | Lenoid Zhukov](https://www.youtube.com/playlist?list=PLriUvS7IljvkGesFRuYjqRz4lKgodJgh2)
* [Youtube - Introduction to Graph Theory using Python & NetworkX](https://www.youtube.com/playlist?list=PLf2v3fmTvaMpMwMsXnF3YkHJ8KF_ZpYBh)
## Videos
* [A gentle introduction to network science](https://www.youtube.com/watch?v=L6CqqlILBCI)
* [Youtube - Social network analysis - Introduction to structural thinking](https://www.youtube.com/watch?v=2ZHuj8uBinM)
## Videos II
* [NetworkX Python Overview and Basic Functions Explained](https://www.youtube.com/watch?v=qMB-Go1pnio)
* [NetworkX Python Graph Types, In-Degree, Out Degree and Graph Types Explained](https://www.youtube.com/watch?v=y2hV2YfcI64)
## Packages
* [NetworkX](https://networkx.org/)
* [graph-tool](https://graph-tool.skewed.de/)
* [NetworKit](https://networkit.github.io/index.html)
* [pyvis](https://pyvis.readthedocs.io/en/latest/)
* [Bokeh](https://bokeh.org/)
* [Jaal](https://github.com/imohitmayank/jaal?tab=readme-ov-file)
* [Plotly Graphing Libraries](https://plotly.com/graphing-libraries/)
* [igraph](https://python.igraph.org/en/stable/index.html)
* [emerge-viz](https://github.com/glato/emerge)
* [ipysigma - Large Network Visuallization](https://pypi.org/project/ipysigma/0.17.0/)
## Datasets
* [Netzschleuder](https://networks.skewed.de/)
## Others
* [Network Science](https://networksciencebook.com/)
* [VisJS](https://visjs.github.io/vis-network/examples/)
* [Github - Awesome Network Analysis](https://github.com/briatte/awesome-network-analysis)
* [Github - Protein-Protein interaction using Networkx](https://github.com/glingden/Protein-Protein-interaction-using-Networkx)
* [ipysigma — Easily visualize networks with thousands of nodes and edges in Python](https://medium.com/@msdatashift/ipysigma-easily-visualize-networks-with-thousands-of-nodes-and-edges-in-python-3ecdbe0321de)
* [Github - ipysigma](https://github.com/medialab/ipysigma)