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@@ -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).