diff --git a/README.md b/README.md index bc1b5b8..8b06ecb 100755 --- a/README.md +++ b/README.md @@ -229,7 +229,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [KONECT - The Koblenz Network Collection](http://konect.uni-koblenz.de/) - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ([companion handbook](https://arxiv.org/abs/1402.5500)). - [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)). +- [Mangal](http://mangal.io/) - Online platform to analyze, archive and share ecological network data ([preprint](https://doi.org/10.1101/002634), [Python package](https://github.com/mangal-wg/pymangal), [R package](https://github.com/mangal-wg/rmangal)). - [Manlio De Domenico’s Complex Multilayer Networks](https://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. @@ -894,7 +894,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this > Explorations of fictional character networks. - [Analyzing Networks of Characters in _Love Actually_](http://varianceexplained.org/r/love-actually-network/) - Features a cluster analysis and a [Shiny app](https://dgrtwo.shinyapps.io/love-actually-network/) (using R + Shiny). -- [Character Co-Occurrences in Victor Hugo’s _Les Misérables_](http://bokeh.pydata.org/en/latest/docs/gallery/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript). +- [Character Co-Occurrences in Victor Hugo’s _Les Misérables_](https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html), plotted as an adjacency matrix, written in Python (+ Javascript). - [Events in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/events.html) and [Places in the _Game of Thrones_](http://www.jeromecukier.net/projects/agot/places.html) - Networked chronologies of character alliances, kills and travels in the book series, drawn with d3.js. - [Lessons on Exponential Random Graph Modeling from _Grey’s Anatomy_ hook-ups](http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/) (using R). - [Network Analysis of Shakespeare’s _Macbeth_](https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html) (using Python).