diff --git a/README.md b/README.md index e2fdc6e..157ee0d 100755 --- a/README.md +++ b/README.md @@ -487,7 +487,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [EgoNet](https://sourceforge.net/projects/egonet/) - Cross-platform Java program for ego network analysis. - [EgoWeb](https://www.qualintitative.com/egoweb/) - Server-side software for social network data collection and processing. - [easyN](http://www.esyn.org/) - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models. -- [Gephi](https://gephi.github.io/) - Cross-platform, free and open source tool for network visualization. +- [Gephi](https://gephi.org/) - Cross-platform, free and open source tool for network visualization. - [Clément Levallois’ Gephi Tutorials](https://seinecle.github.io/gephi-tutorials/). - [Geographische Netzwerkvisualisierung mit dem Programm ‘Gephi’](http://www.podcampus.de/nodes/RJVZo), in German (2016). - [Introduction to Network Analysis and Visualization with Gephi](http://www.martingrandjean.ch/gephi-introduction/) (2015). @@ -577,6 +577,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this ### Java +- [GraphStore](https://github.com/gephi/graphstore) - In-memory graph structure implementation, powering Gephi. - [GraphStream](https://graphstream-project.org/) - Java library for the modeling and analysis of dynamic graphs. - [Mixer](https://github.com/keith-turner/mixer) - Prototype showing how to use [Apache Fluo](https://fluo.apache.org/) to continuously merge multiple large graphs into a single derived one. @@ -589,6 +590,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [d3-force: Force-directed graph layout](https://github.com/d3/d3-force) using velocity Verlet integration. - [d3-vector: Define connections between nodes as directional vectors](https://github.com/thepeoplesbourgeois/d3-vector), consisting of angles and magnitudes. - [GENSI](http://www.tobiasstark.nl/GENSI/GENSI.htm) - JavaScript graphical tool to collect ego-centered network data ([paper](https://doi.org/10.1016/j.socnet.2016.07.007)). +- [Gephi Lite](https://github.com/gephi/gephi-lite) - Web-based, lighter version of Gephi. - [GoJS](https://gojs.net/) - Visualization library to draw diagrams and several types of network layouts. - [Graphology](https://graphology.github.io/) - Specification and reference implementation for a robust and multipurpose JavaScript `Graph` object. - [greuler](https://mauriciopoppe.github.io/greuler/) - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and [WebCola](https://ialab.it.monash.edu/webcola/). @@ -780,7 +782,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this > Generic graph syntaxes intended for use by several programs. - [DOT](http://www.graphviz.org/doc/info/lang.html) - Graph drawing syntax used by the Graphviz software. -- [GEXF](https://gephi.org/gexf/format/) - File format used by the Gephi software. +- [GEXF](https://gexf.net) - File format used by the Gephi software. - [GraphML](http://graphml.graphdrawing.org/) - Comprehensive and easy-to-use file format for graphs ([handbook chapter](https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf)). - [JGraphT](https://jgrapht.org/) - Java graph library for graph data structures and algorithms ([example algorithms](https://github.com/agouge/Java-Network-Analyzer)). - [JUNG - Java Universal Network/Graph Framework](https://jung.sourceforge.net/) - Extensible library to represent network objects. @@ -999,8 +1001,9 @@ Alden S. Klovdahl, [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) - +[Rémy Cazabet](https://github.com/Yquetzal), +[Jeremy Gelb](https://github.com/JeremyGelb) and +[Mathieu Bastian](https://github.com/mbastian) - have waived all copyright and related or neighboring rights to this work. Thanks to [Robert J. Ackland](https://github.com/rjackland),