diff --git a/README.md b/README.md index 1e7de41..33bb7c6 100755 --- a/README.md +++ b/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 @@ -510,6 +512,7 @@ __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. @@ -627,6 +630,7 @@ __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. - [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. @@ -640,6 +644,7 @@ __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. @@ -931,7 +936,7 @@ __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/), @@ -965,9 +970,13 @@ 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), -[Bernhard Bieri](https://bernhardbieri.ch/) – 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/) and +[Bernhard Bieri](https://bernhardbieri.ch/) - +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),