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conferences and a few more format fixes

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@ -9,6 +9,7 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
- __[Language-specific](#language-specific)__
- __[Method-specific](#method-specific)__
- __[Topic-specific](#topic-specific)__
- __[Conferences](#conferences)__
- __[Courses](#courses)__
- __[Datasets](#datasets)__
- __[Journals](#journals)__
@ -50,6 +51,13 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
1. _[Neighbor Networks. Competitive Advantage Local and Personal](https://global.oup.com/academic/product/neighbor-networks-9780199570690)_, by Ronald S. Burt (2010).
- _[Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan](http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan)_, by David Knoke _et al._ (1996).
## Conferences
1. [European Conference on Social Networks](http://eusn.org/) (EUSN).
- [PolNet - Annual Political Networks Workshops and Conference](http://conference.polinetworks.org/) (APSA).
- [NetSci](http://www.netscisociety.net/) (Network Science Society).
- [Sunbelt](http://www.insna.org/archives.html) (INSNA).
## Courses
1. [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (2016).
@ -116,7 +124,7 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
> For more awesome Python packages, see the [Awesome JavaScript](https://github.com/sorrycc/awesome-javascript) list.
- [d3.js](https://d3js.org/) - JavaScript visualization library that can plot [force-directed graphs](http://bl.ocks.org/mbostock/4062045).
1. [d3.js](https://d3js.org/) - JavaScript visualization library that can plot [force-directed graphs](http://bl.ocks.org/mbostock/4062045).
- [jLouvain](https://github.com/upphiminn/jLouvain) - Louvain community detection for Javascript ([example](http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5)).
- [Sigma](http://sigmajs.org/) - JavaScript library dedicated to graph drawing.
- [vis.js](http://visjs.org/) - JavaScript library with network visualization capabilities.
@ -136,15 +144,15 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
> See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others.
> For more awesome R packages, see the [Awesome R](https://github.com/qinwf/awesome-R) list.
- [Bergm](https://cran.r-project.org/web/packages/Bergm/) - Tools to analyse Bayesian exponential random graph models.
1. [Bergm](https://cran.r-project.org/web/packages/Bergm/) - Tools to analyse Bayesian exponential random graph models (BERGM).
- [CCAS](https://github.com/matthewjdenny/CCAS) - A statistical model for communication networks.
- [concoR](https://github.com/aslez/concoR) - A translation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)).
- [ergm](https://cran.r-project.org/web/packages/ergm/) - Estimation of Exponential Random Graph Models.
- [ergm](https://cran.r-project.org/web/packages/ergm/) - Estimation of Exponential Random Graph Models (ERGM).
- [GERGM](https://cran.r-project.org/web/packages/GERGM/) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).
- [geomnet](https://cran.r-project.org/web/packages/geomnet/) - A single-geometry approach to network visualization with ggplot2.
- [ggnetwork](https://cran.r-project.org/web/packages/ggnetwork/) - A multiple-geometries approach to plot network objects with ggplot2.
- [ggraph](https://github.com/thomasp85/ggraph) - A grammar of graph graphics built in the spirit of ggplot2.
- [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models with local dependence.
- [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
- [igraph](http://igraph.org/r/) - A collection of network analysis tools.
- [latentnet](https://cran.r-project.org/web/packages/latentnet/) - Latent position and cluster models for network objects.
- [networkD3](http://christophergandrud.github.io/networkD3/) - D3 JavaScript network graphs from R.
@ -156,30 +164,33 @@ An [awesome list](https://github.com/sindresorhus/awesome) of resources to const
- [sna](https://cran.r-project.org/web/packages/sna/) - Basic network measures and visualization tools.
- [spnet](http://cran.r-project.org/web/packages/spnet/) - Methods for dealing with spatial social networks.
- [statnet](http://statnet.org/) - The project behind many R network analysis packages.
- [tergm](https://cran.r-project.org/web/packages/tergm/) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).
- [tnet](https://cran.r-project.org/web/packages/tnet/) - Network measures for weighted, two-mode and longitudinal networks.
- [tsna](https://cran.r-project.org/web/packages/tsna/) - Tools for temporal social network analysis.
- [visNetwork](https://github.com/DataKnowledge/visNetwork) - Using vis.js library for network visualization.
- [xergm](https://cran.r-project.org/web/packages/xergm/) - Extensions of Exponential Random Graph Models.
- [xergm](https://cran.r-project.org/web/packages/xergm/) - Extensions of Exponential Random Graph Models (ERGM, GERGM, TERGM, TNAM and REM).
## Tutorials
1. [Analyse des réseaux : une introduction à Pajek](http://quanti.hypotheses.org/512/), in French (2011).
- [Basic and Advanced Network Visualization with Gephi and R](http://kateto.net/sunbelt2016) (Sunbelt 2016).
- [Exponential Random Graph Models (ERGMs) Using statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2015/ergm_tutorial.html) (Sunbelt 2015).
- [Basic and Advanced Network Visualization with Gephi and R](http://kateto.net/sunbelt2016) (2016).
- [Exponential Random Graph Models (ERGMs) Using statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2015/ergm_tutorial.html) (2015).
- [Guides for Using the statnet Package](http://www.melissaclarkson.com/resources/R_guides/) (2010).
- [Implementing an ERGM From Scratch in Python](http://davidmasad.com/blog/ergms-from-scratch/) (2014).
- [L'analyse des graphes bipartis](https://halshs.archives-ouvertes.fr/FMR/halshs-00794976), in French (2013).
- [La détection de communautés avec Pajek 3.6](http://groupefmr.hypotheses.org/544), in French (2012).
- [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (Sunbelt 2013).
- [Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (NetSciX 2016).
- [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (2013).
- [Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (2016).
- [Practical Social Network Analysis With Gephi](http://derekgreene.com/gephitutorial/) (2014).
- [Static and Dynamic Network Visualization with R](http://kateto.net/network-visualization) (PolNet 2015).
- [Static and Dynamic Network Visualization with R](http://kateto.net/network-visualization) (2015).
- [Working with Bipartite/Affiliation Network Data in R](https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/) (2012).
## Varia
- [Blog posts about networks](http://pierremerckle.fr/category/reseaux/) by Pierre Mercklé, in French.
- [Network Fact](https://twitter.com/networkfact) - A Twitter account about networks, graph theory, and related topics.
1. [Blog posts about networks by Baptiste Coulmont](http://coulmont.com/index.php?s=r%C3%A9seaux), in French.
- [Blog posts about networks by Pierre Mercklé](http://pierremerckle.fr/category/reseaux/), in French.
- [Network Fact](https://twitter.com/networkfact) - Twitter account about networks, graph theory, and related topics.
- [Social network analysis software](https://en.wikipedia.org/wiki/Social_network_analysis_software) - Wikipedia English entry with links to many commercial and often outdated software.
- [Videos from the Political Networks 2009 conference](https://vimeo.com/user2690333).
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