Awesome-Mirrors/awesome-network-analysis
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Add neo4r

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thanks @ColinFay: https://twitter.com/_ColinFay/status/1218278637394415618
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François Briatte 2020-02-17 08:18:44 +01:00
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- [levelnet](https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: `bipartite` R package. - [levelnet](https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: `bipartite` R package.
- [lpNet](https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks. - [lpNet](https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks.
- [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats. - [ndtv](https://CRAN.R-project.org/package=ndtv) - Tools to construct animated visualizations of dynamic network data in various formats.
- [neo4r](https://github.com/neo4j-rstats/neo4r) - Neo4J driver for R.
- [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R. - [networkD3](http://christophergandrud.github.io/networkD3/) - Create d3.js network graphs from R.
- [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations. - [netdiffuseR](https://CRAN.R-project.org/package=netdiffuseR) - Tools to analyze the network diffusion of innovations.
- [netrankr](https://cran.r-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation. - [netrankr](https://cran.r-project.org/package=netrankr) - Up-to-date collection of network centrality indices, with lots of documentation.