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add tidygraph, closes #67

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François 2018-07-19 09:34:11 +02:00
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@ -647,7 +647,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [GERGM](https://CRAN.R-project.org/package=GERGM) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).
- [geomnet](https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with ggplot2.
- [ggnetwork](https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with ggplot2.
- [ggraph](https://github.com/thomasp85/ggraph) - Grammar of graph graphics built in the spirit of ggplot2.
- [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2 (see also `tidygraph` further down).
- [hergm](https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
- [hierformR](https://CRAN.R-project.org/package=hierformR) – Determine paths and states that social networks develop over time to form social hierarchies.
- [igraph](http://igraph.org/r/) - A collection of network analysis tools.
@ -686,6 +686,9 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [Guides for Using the statnet Package](http://www.melissaclarkson.com/resources/R_guides/) (2010).
- [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (2013).
- [tergm](https://CRAN.R-project.org/package=tergm) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).
- [tidygraph](https://CRAN.R-project.org/package=tidygraph) - 'Tidy' approach to building graph structures.
- [Introducing tidygraph](https://www.data-imaginist.com/2017/introducing-tidygraph/)
- [Tidying up your network analysis with tidygraph and ggraph](https://www.rstudio.com/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/)
- [tnam](https://CRAN.R-project.org/package=tnam) - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).
- [tnet](https://CRAN.R-project.org/package=tnet) - Network measures for weighted, two-mode and longitudinal networks.
- [tsna](https://CRAN.R-project.org/package=tsna) - Tools for temporal social network analysis.
@ -879,6 +882,6 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
[![CC0](http://i.creativecommons.org/p/zero/1.0/88x31.png)](http://creativecommons.org/publicdomain/zero/1.0/)
To the extent possible under law, the authors of this list – by chronological order: [François Briatte](http://f.briatte.org/), [Ian McCulloh](https://www.linkedin.com/in/mcculloh), [Aditya Khanna](http://home.uchicago.edu/~khanna7), [Manlio De Domenico](https://comunelab.fbk.eu/manlio/), Patrick Kaminski, [Ericka Menchen-Trevino](http://www.ericka.cc/), [Tam-Kien Duong](https://github.com/taniki), [Jeremy Foote](https://github.com/jdfoote), [Catherine Cramer](http://nysci.org/nysci_people/catherine-cramer/), [Andrej Mrvar](http://mrvar.fdv.uni-lj.si/), [Patrick Doreian](http://patrickdoreian.com/), [Vladimir Batagelj](http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado), Eric C. Jones, Alden S. Klovdahl, [James Fairbanks](http://www.jpfairbanks.net/), [Danielle Varda](http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx), [Andrew Pitts](https://twitter.com/andpitts), [Roman Bartusiak](http://riomus.ml/), [Koustuv Sinha](http://koustuvsinha.github.io/), [Mohsen Mosleh](http://mohsenmosleh.com/), [Sandro Sousa](https://github.com/sandrofsousa), [Jean-Baptiste Pressac](https://github.com/JBPressac), [Patrick Connolly](https://github.com/patcon), [Hristo Georgiev](http://hristog.github.io/), [Tiago Azevedo](http://github.com/tjiagoM), [Luis Miguel Montilla](https://twitter.com/luismmontilla), and [Keith Turner](https://github.com/keith-turner) – have waived all copyright and related or neighboring rights to this work.
To the extent possible under law, the authors of this list – by chronological order: [François Briatte](http://f.briatte.org/), [Ian McCulloh](https://www.linkedin.com/in/mcculloh), [Aditya Khanna](http://home.uchicago.edu/~khanna7), [Manlio De Domenico](https://comunelab.fbk.eu/manlio/), Patrick Kaminski, [Ericka Menchen-Trevino](http://www.ericka.cc/), [Tam-Kien Duong](https://github.com/taniki), [Jeremy Foote](https://github.com/jdfoote), [Catherine Cramer](http://nysci.org/nysci_people/catherine-cramer/), [Andrej Mrvar](http://mrvar.fdv.uni-lj.si/), [Patrick Doreian](http://patrickdoreian.com/), [Vladimir Batagelj](http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado), Eric C. Jones, Alden S. Klovdahl, [James Fairbanks](http://www.jpfairbanks.net/), [Danielle Varda](http://www.ucdenver.edu/academics/colleges/SPA/FacultyStaff/Faculty/Pages/DanielleVarda.aspx), [Andrew Pitts](https://twitter.com/andpitts), [Roman Bartusiak](http://riomus.ml/), [Koustuv Sinha](http://koustuvsinha.github.io/), [Mohsen Mosleh](http://mohsenmosleh.com/), [Sandro Sousa](https://github.com/sandrofsousa), [Jean-Baptiste Pressac](https://github.com/JBPressac), [Patrick Connolly](https://github.com/patcon), [Hristo Georgiev](http://hristog.github.io/), [Tiago Azevedo](http://github.com/tjiagoM), [Luis Miguel Montilla](https://twitter.com/luismmontilla), [Keith Turner](https://github.com/keith-turner) and [Sandra B.](https://github.com/sandravizmad) – have waived all copyright and related or neighboring rights to this work.
Thanks to [Robert J. Ackland](https://github.com/rjackland), [Marc Flandreau](http://graduateinstitute.ch/directory/_/people/flandreau), [Eiko Fried](http://eiko-fried.com/), [Wouter de Nooy](https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html), [Katya Ognyanova](http://kateto.net/), [Camille Roth](http://camille.roth.free.fr/), [Cosma Shalizi](http://www.stat.cmu.edu/~cshalizi/), [Tom A.B. Snijders](https://www.stats.ox.ac.uk/~snijders/) and [Tim A. Wheeler](https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.