From 4f09e3a97f33a4c8db5b9ced473eb100572c7d31 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Briatte?= Date: Wed, 26 Apr 2023 21:18:15 +0200 Subject: [PATCH] close #45 --- README.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 1a55e04..6e430f5 100755 --- a/README.md +++ b/README.md @@ -252,7 +252,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - _[ARCS – Analyse de réseaux pour les sciences sociales / Network Analysis for the Social Sciences](http://arcs.episciences.org/)_, in English and in French ([GDR ARSHS](https://arshs.hypotheses.org/)). - _[Computational and Mathematical Organization Theory](http://link.springer.com/journal/10588)_ (Springer, gated). - _[Computational Social Networks](http://computationalsocialnetworks.springeropen.com/)_ (Springer Open). -- _[Connections](http://www.insna.org/connections.html)_ (INSNA). +- _[Connections](http://www.insna.org/connections.html)_ (INSNA). Twitter: [@ConnectionsSNA](https://twitter.com/ConnectionsSNA). - _[IEEE Transactions on Network Science and Engineering](http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=6488902)_ (IEEE). - _[Journal of Complex Networks](https://academic.oup.com/comnet)_ (Oxford, gated). - _[The Journal of Mathematical Sociology](http://www.tandfonline.com/loi/gmas20)_ (Taylor & Francis, gated). @@ -270,10 +270,11 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [APSA Political Networks](http://www.polinetworks.org/) - Organized Section of the American Political Science Association (APSA). Twitter: [@PolNetworks](https://twitter.com/PolNetworks). - [ECPR Political Networks SG](https://politicalnetsecpr.wordpress.com/) - Standing Group of the European Consortium for Political Research. Twitter: [@politicalnets](https://twitter.com/politicalnets). - [GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales](http://arshs.hypotheses.org/), in French - Research group based in Paris. -- [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French. -- [INSNA - International Network for Social Network Analysis](https://www.insna.org/) ([SOCNET mailing-list](https://www.insna.org/socnet)). +- [Groupe FMR - Flux, Matrices, Réseaux](http://groupefmr.hypotheses.org/), in French. Twitter: [@BaugLaurent](https://twitter.com/BaugLaurent). +- [INSNA - International Network for Social Network Analysis](https://www.insna.org/) ([SOCNET mailing-list](https://www.insna.org/socnet)). Twitter: [@SocNetAnalysts](https://twitter.com/SocNetAnalysts). - [Mathematical Sociology Section of the American Sociological Association (ASA)](http://www.asanet.org/asa-communities/sections/mathematical-sociology). -- [NetSci - Network Science Society](http://www.netscisociety.net/). +- [NetSci - Network Science Society](http://www.netscisociety.net/). Twitter: [@netscisociety](https://twitter.com/netscisociety). +- [Society of Young Network Scientists (SYNS)](https://society-of-young-network-scientists.github.io/). Supports early-career network scientists. Twitter: [@official_SYNS](https://twitter.com/official_SYNS). ### Research Groups (USA) @@ -322,8 +323,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [ANR-Lab - International Laboratory for Applied Network Research](https://anr.hse.ru/en/) - Russian group based at the National Research University in Moscow. - [Theory and Methods in Network Analysis (“TMSA”) Summer Schools](https://anr.hse.ru/en/summer). - [Large Graphs and Networks](http://sites.uclouvain.be/networks/) - Research group at the Catholic University of Louvain ([official page](https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html)). -- [MelNet Social Network Research Group, Swinburne University of Technology](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). -- [Mitchell Centre for Social Network Analysis, University of Manchester](http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies [covert networks](http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). +- [MelNet Social Network Research Group, Swinburne University of Technology](http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/). Twitter: [@melnetsna](https://twitter.com/melnetsna). +- [Mitchell Centre for Social Network Analysis, University of Manchester](http://www.socialsciences.manchester.ac.uk/mitchell-centre/) - Currently studies [covert networks](http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/). Twitter: [@MitchellSNA](https://twitter.com/MitchellSNA). - [Murata Laboratory](http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks. - [NetLab](http://www.urbancentre.utoronto.ca/researchgroups/netlab.html) - Research network at the University of Toronto, led by Barry Wellman. - [Network Science Research Centre, Swansea University](http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/). @@ -668,7 +669,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [amen](https://CRAN.R-project.org/package=amen) - Additive and multiplicative effects models for relational data. - [backbone](https://CRAN.R-project.org/package=backbone) - Provides methods for binarizing a weighted network retaining only significant edges. - [Introduction to the backbone package](https://arxiv.org/abs/1912.12779) -- [Bergm](https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). +- [Bergm](https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: [@BayesianSNA](https://twitter.com/BayesianSNA). - [bipartite](https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: `levelnet` R package. - [blockmodeling](https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks. - [bnlearn](https://CRAN.R-project.org/package=bnlearn) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork)).