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close #96 and add @beauguitte to the credits

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@ -120,6 +120,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
- _[Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie](http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0)_, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in German (2012).
- _[Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung]()_, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).
- _Inferential Network Analysis_, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (forthcoming).
- _[Multilayer Social Networks](http://multilayer.it.uu.se/book.html)_, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).
- _[Multilevel Network Analysis for the Social Sciences](https://www.springer.com/fr/book/9783319245188)_, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).
- _[Multivariate Network Visualization](https://www.springer.com/us/book/9783319067926)_, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).
- _[Network Analysis in Archaeology](https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090)_, edited by Carl Knappett (2013; [review in French](https://journals.openedition.org/nda/2383)).
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- [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.
- [TQ (Temporal Quantities)](http://vladowiki.fmf.uni-lj.si/doku.php?id=tq) - Python 3 library for temporal network analysis.
- [uunet](http://multilayer.it.uu.se/software.html) - Tools for multilayer social networks.
- [Related book and data](http://multilayer.it.uu.se/). See `multinet` for the R version.
- [webweb](https://webwebpage.github.io/) - MATLAB/Python library to produce interactive network visualizations with d3.js.
### R
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- [latentnet](https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects.
- [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.
- [multinet](https://cran.r-project.org/package=multinet) - Tools for multilayer social networks.
- [Related book and data](http://multilayer.it.uu.se/), and [presentation article](http://multilayer.it.uu.se/papers/jss.pdf). See `uunet` for the Python version.
- [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.
@ -926,4 +931,4 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
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), [Sandra Becker](https://github.com/sandravizmad), [Benedek Rozemberczki](https://github.com/benedekrozemberczki), [Xing Han Lu](https://xinghanlu.com/), [Vincent Labatut](https://cv.archives-ouvertes.fr/vlabatut), [David Schoch](http://mr.schochastics.net/), [Jaewon Chung](https://github.com/j1c) [Benedek Rozemberczki](https://github.com/benedekrozemberczki) and [Alex Loftus](https://github.com/loftusa) – have waived all copyright and related or neighboring rights to this work.
Thanks to [Robert J. Ackland](https://github.com/rjackland), [Patrick Connolly](http://nodescription.net/), [Michael Dorman](http://geobgu.xyz/), [Colin Fay](https://colinfay.me/), [Marc Flandreau](http://www.history.upenn.edu/people/faculty/marc-flandreau), [Eiko Fried](http://eiko-fried.com/), [Christopher Steven Marcum](http://www.chrismarcum.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/), [Chris Watson](https://profiles.bu.edu/Christopher.Watson) and [Tim A. Wheeler](https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.
Thanks to [Robert J. Ackland](https://github.com/rjackland), [Laurent Beauguitte](https://cv.archives-ouvertes.fr/laurent-beauguitte), [Patrick Connolly](http://nodescription.net/), [Michael Dorman](http://geobgu.xyz/), [Colin Fay](https://colinfay.me/), [Marc Flandreau](http://www.history.upenn.edu/people/faculty/marc-flandreau), [Eiko Fried](http://eiko-fried.com/), [Christopher Steven Marcum](http://www.chrismarcum.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/), [Chris Watson](https://profiles.bu.edu/Christopher.Watson) and [Tim A. Wheeler](https://github.com/tawheeler), who helped locating some of the awesome resources featured in this list.