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François Briatte 56316b09a4 add Raphtory 2023-06-30 15:42:21 +02:00
François Briatte c69183e3c1 Add {netUtils} from @schochastics 2023-06-30 15:06:58 +02:00
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@ -664,6 +664,7 @@ __Note:__ searching for @ will return all Twitter accounts listed on this
- [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
- [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
- [python-louvain](https://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
- [Raphtory](https://www.raphtory.com/) - A platform for building and analysing temporal networks.
- [scipy.sparse.csgraph](https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph) - Fast graph algorithms based on sparse matrix representations.
- [Snap.py](http://snap.stanford.edu/snappy/index.html) - A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks).
- [SnapVX](https://github.com/snap-stanford/snapvx) - A convex optimization solver for problems defined on a graph.
@ -730,6 +731,7 @@ __Note:__ searching for @ will return all Twitter accounts listed on this
- [Network Centrality in R: Neighborhood Inclusion](http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/).
- [Network Centrality in R: New Ways of Measuring Centrality](http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/) (2018).
- [NetSim](http://www.christoph-stadtfeld.com/netsim/) - Simulate and combine micro-models to research their impact on the macro-features of social networks.
- [netUtils](https://github.com/schochastics/netUtils) - Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model.
- [network](https://CRAN.R-project.org/package=network) - Basic tools to manipulate relational data in R.
- [networkdata](https://github.com/schochastics/networkdata) - Includes 979 network datasets containing 2135 networks.
- [networkdiffusion](https://github.com/chengjun/networkdiffusion) - Simulate and visualize basic epidemic diffusion in networks.