fix #99

Added Multimodal Political Networks book and the goldfish and migraph packages

README.md

@@ -79,8 +79,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 
 ### General Overviews
 
+-   _[A First Course in Network Science](https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science)_, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces [on GitHub](https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience) (2020).
 -   _[Encyclopedia of Social Networks](http://sk.sagepub.com/reference/socialnetworks)_, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).
 -   _[Encyclopedia of Social Network Analysis and Mining](https://www.springer.com/us/book/9781461461692)_, edited by Reda Alhajj and Jon Rokne (2014).
+-   _[L'analyse de réseau en sciences sociales. Petit guide pratique](https://hal.science/hal-04052709)_, by Laurent Beauguitte, in French (2023).
 -   _[Network Science](http://networksciencebook.com)_, by Albert-László Barabási - Full book online (2016).
 -   _[Network Science](http://www.nap.edu/catalog/11516/network-science)_, by the U.S. National Research Council - Full book online (2005).
 -   _[Network Science: Theory and Practice](http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html)_, by Ted G. Lewis (2011).
@@ -103,7 +105,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   _[Graph Theory](http://diestel-graph-theory.com/)_, by Reinhard Diestel - Full book online, also in Chinese and German (2016).
 -   _[Graph Theory](http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf)_, by Frank Harary - Full book online (1969).
 -   _[Graphs & Digraphs](https://www.crcpress.com/Graphs--Digraphs-Sixth-Edition/Chartrand-Lesniak-Zhang/p/book/9781498735766)_, by Gary Chartrand, Linda Lesniak and Ping Zhang (2016).
--   _[Introduction to Combinatorics and Graph Theory](https://www.whitman.edu/mathematics/cgt_online/cgt.pdf)_, by Daniel Guichard - Full book online (2016).
+-   _[Introduction to Combinatorics and Graph Theory](https://www.whitman.edu/mathematics/cgt_online/cgt.pdf)_, by David Guichard - Full book online (2016).
 -   _[Modern Graph Theory](https://www.springer.com/us/book/9780387984889)_, by Belá Bollobás (1998).
 
 ### Method-specific
@@ -122,6 +124,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   _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).
+-   _[Multimodal Political Networks](https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128)_, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).
 -   _[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)).
 -   _[Network Analysis: Methodological Foundations](https://www.springer.com/fr/book/9783540249795)_, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).
@@ -187,6 +190,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 
 ## Courses
 
+-   [Complex Networks](http://cazabetremy.fr/Teaching/ComplexNetworks.html), by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022).
+    -   [Network Science CheatSheets](https://github.com/Yquetzal/NetworkScience_CheatSheets).
 -   [Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/), by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: [@networksvox](https://twitter.com/networksvox)).
     -   [Tarot Cards for Principles of Complex Systems and Complex Networks](https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/).
 -   [Graph Theory and Applications](http://www.hamilton.ie/ollie/Downloads/Graph.pdf), by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009).
@@ -223,7 +228,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [James H. Fowler’s Cosponsorship Network Data Page](http://jhfowler.ucsd.edu/cosponsorship.htm).
 -   [Linton Freeman’s Network Data](http://moreno.ss.uci.edu/data.html) - Over 300 datasets of all sorts, in UCINET format.
 -   [Mangal](http://mangal.io/) - Online platform to analyze, archive and share ecological network data ([preprint](http://biorxiv.org/content/early/2015/02/24/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)).
--   [Manlio De Domenico’s Complex Multilayer Networks](https://comunelab.fbk.eu/data.php).
+-   [Manlio De Domenico’s Complex Multilayer Networks](https://manliodedomenico.com/data.php).
 -   [Mark E.J. Newman’s Network Data](http://www-personal.umich.edu/~mejn/netdata/) ([example visualizations](http://www-personal.umich.edu/~mejn/networks/)).
 -   [Network Repository](http://networkrepository.com/) - Fully searchable database containing hundreds of real-world networks.
 -   [Network Science Book - Network Datasets](http://networksciencebook.com/translations/en/resources/data.html) - Network data sets from Albert-László Barabási’s _Network Science_ book. Includes data on IMDB actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages.
@@ -320,7 +325,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [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/).
 -   [Murata Laboratory](http://www.net.c.titech.ac.jp/) - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.
--   [NetLab](http://groups.chass.utoronto.ca/netlab/) - Research network at the University of Toronto, led by Barry Wellman.
+-   [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/).
 -   [Network Dynamics](http://networkdynamics.org/) - Research Lab at McGill University, led by [Derek Ruths](http://www.derekruths.com/)
 -   [Netzwerkerei](http://netzwerkerei.org/) - Historical research project on the connections between Jewish intellectuals.
@@ -509,6 +514,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [Polinode](https://www.polinode.com/) - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.
 -   [PUCK - Program for the Use and Computation of Kinship data](http://www.kintip.net/) - Cross-platform Java program for genealogical network analysis.
 -   [Radatools](http://deim.urv.cat/~sergio.gomez/radatools.php) - Set of tools intended for the analysis of complex networks, built on top of [Radalib](http://deim.urv.cat/~sergio.gomez/radalib.php), a library written in Ada.
+-   [Retina](https://ouestware.gitlab.io/retina) - Web application to share GEXF and GraphML network visualizations.
 -   [SageMath](http://www.sagemath.org/) - Free open-source mathematics software with extensive [graph capabilities](http://doc.sagemath.org/html/en/reference/graphs/index.html).
 -   [Segrada](http://segrada.org/) - Cross-platform tool to build and visualize semantic graph databases.
 -   [Siena](http://www.stats.ox.ac.uk/~snijders/siena/) - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.
@@ -626,6 +632,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 > See also [Social Network Analysis with Python](https://www.youtube.com/watch?v=qgGqaBAEy3Q), a 3-hour tutorial by Maksim Tsvetovat and Alex Kouznetsov given at PyCon US 2012 ([code](https://github.com/maksim2042/PyCon2012)).  
 > For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) and [Awesome Python Books](https://github.com/Junnplus/awesome-python-books) lists.
 
+-   [bokeh](https://bokeh.org/) - Python library for interactive data visualization in the browser, with support for networks.
+-   [cdlib](https://github.com/GiulioRossetti/cdlib) - Python community detection library, with 60+ methods and evaluation/visualization features.
 -   [dash-cytoscape](https://github.com/plotly/dash-cytoscape) - Interactive network visualization library in Python, powered by Cytoscape.js and Dash
 -   [graph-tool](http://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
 -   [graphviz](https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.
@@ -639,12 +647,14 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [networkx](http://networkx.github.io/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
     -   [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
     -   [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
+-   [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.
 -   [npartite](https://github.com/ike002jp/npartite) - Python algorithms for community detection in n-partite networks.
 -   [PyGraphistry](https://github.com/graphistry/pygraphistry) - Python library to extract, transform, and visually explore big graphs.
 -   [python-igraph](http://igraph.org/python/) - Python version of the igraph network analysis package.
 -   [python-louvain](http://perso.crans.org/aynaud/communities/) - A solid implementation of Louvain community detection algorithm.
 -   [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.
+-   [tnetwork](https://github.com/Yquetzal/tnetwork) - Python library for temporal networks, and dynamic community detection in particular.
 -   [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.
@@ -675,6 +685,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [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://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2. See also: `tidygraph` R package.
+-   [goldfish](https://github.com/snlab-ch/goldfish) - Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.
 -   [graphlayouts](https://cran.r-project.org/package=graphlayouts) - Layout algorithms based on the concept of [stress majorization](https://doi.org/10.1007/978-3-540-31843-9_25).
     -   [Introducing graphlayouts with Game of Thrones](http://blog.schochastics.net/post/introducing-graphlayouts-with-got/).
     -   [Network Visualizations in R using ggraph and graphlayouts](http://mr.schochastics.net/netVizR.html).
@@ -689,6 +700,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 -   [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.
+-   [migraph](https://cran.r-project.org/web/packages/migraph/) - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.
 -   [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.
@@ -724,7 +736,8 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
     - [Introduction to snahelper (Part 2)](http://blog.schochastics.net/post/new-rstudio-addins-for-network-analysis/)
 -   [SocialMediaLab](https://CRAN.R-project.org/package=SocialMediaLab) - Tools for collecting social media data and generating networks from it ([companion website](http://vosonlab.net/SocialMediaLab), [github repo](https://github.com/voson-labSocialMediaLab)).
 -   [spectralGOF](http://people.bu.edu/jccs/spectralGOF.html) - Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network.
--   [spnet](https://CRAN.R-project.org/package=spnet) - Methods for dealing with spatial social networks.
+-   [spnet](https://CRAN.R-project.org/package=spnet) - Methods for visualizing spatial networks on maps in the `sp` class.
+-   [spNetwork](https://cran.r-project.org/package=spNetwork) - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.
 -   [statnet](http://statnet.org/) - The project behind many R network analysis packages ([mailing-list](https://mailman.u.washington.edu/mailman/listinfo/statnet_help), [wiki](https://statnet.org/trac)).
     -   [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).
@@ -928,10 +941,10 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
 
 [![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/), 
+To the extent possible under law, the authors of this list – by chronological order: [François Briatte](https://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/), 
+[Manlio De Domenico](https://manliodedomenico.com/), 
 Patrick Kaminski, 
 [Ericka Menchen-Trevino](http://www.ericka.cc/), 
 [Tam-Kien Duong](https://github.com/taniki), 
@@ -962,8 +975,15 @@ Alden S. Klovdahl,
 [David Schoch](http://mr.schochastics.net/), 
 [Jaewon Chung](https://github.com/j1c), 
 [Benedek Rozemberczki](https://github.com/benedekrozemberczki), 
-[Alex Loftus](https://github.com/loftusa) and 
-[Arun](https://github.com/arunppsg) – have waived all copyright and related or neighboring rights to this work.
+[Alex Loftus](https://github.com/loftusa), 
+[Arun](https://github.com/arunppsg), 
+[Filippo Menczer](https://cnets.indiana.edu/fil/), 
+[Marc Schiller](https://github.com/m4rcs), 
+[Tanguy Fardet](https://tfardet.srht.site/), 
+[Bernhard Bieri](https://bernhardbieri.ch/), 
+[Rémy Cazabet](https://github.com/Yquetzal) and 
+[Jeremy Gelb](https://github.com/JeremyGelb) - 
+have waived all copyright and related or neighboring rights to this work.
 
 Thanks to [Robert J. Ackland](https://github.com/rjackland), 
 [Laurent Beauguitte](https://cv.archives-ouvertes.fr/laurent-beauguitte),