Merge branch 'master' of git://code.communitydata.cc/social-media-chapter

diff --combined README.md
index e66af27331c2052be57b51f5a007f5b5b04e486e,d305de95bc757ae5bda62f8e2607812a442807a3..6bb09f5e5d7a140c3c3af982586cd3d307a12d48
--- 1/README.md
--- 2/README.md
+++ b/README.md
@@@ -3,8 -3,6 +3,8 @@@ title: Software and data for "A Computa
  output: html_document
  --- 
  
 +<link rel='stylesheet' href='./simple.css'>
 +
  > **Authors:** [Jeremy Foote](http://jeremydfoote.com/), [Aaron Shaw](http://aaronshaw.org/), [Benjamin Mako Hill](https://mako.cc/academic/)<br />
  > **Archival copies of code and data:** <https://dx.doi.org/10.7910/DVN/W31PH5><br />
  > **License:** see [COPYING file](COPYING): code is released under [GNU GPLv3](https://www.gnu.org/licenses/gpl-3.0.en.html) or any later version; chapter is released as [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
@@@ -27,7 -25,7 +27,7 @@@ This document is meant to be read along
  
  We will be as explicit as possible in this document, and try to make it accessible to less-technical readers. However, we do make a few assumptions:
  
- * You have access to and basic familiarity with [a POSIX command line interface](https://en.wikipedia.org/wiki/POSIX). The instructions here are written for and tested using [Debian](https://www.debian.org/) and [Ubuntu](https://www.ubuntu.com/) GNU/Linux. That said, these instructions should work without modification on most Linux systems.  Although MacOS users may need to tweak a few things, they should work there, too. Microsoft Windows users will likely need to tweak more things. This is particularly true for the last step—building the paper itself. If you can get a simple example like [this one](https://github.com/yihui/knitr-examples/blob/master/005-latex.Rtex) working, then there's a decent chance you can get the chapter to build.
+ * You have access to and basic familiarity with [a POSIX command line interface](https://en.wikipedia.org/wiki/POSIX). The instructions here are written for and tested using [Debian](https://www.debian.org/) and [Ubuntu](https://www.ubuntu.com/) GNU/Linux. That said, these instructions should work without modification on most Linux systems.  Although MacOS users may need to [tweak a few things](MacInstallNotes), they should work there, too. Microsoft Windows users will likely need to tweak more things. This is particularly true for the last step—building the paper itself. If you can get a simple example like [this one](https://github.com/yihui/knitr-examples/blob/master/005-latex.Rtex) working, then there's a decent chance you can get the chapter to build.
  * You have [Python 3.x](https://www.python.org/downloads/) installed. For many users, you will already have it installed. Debian and Ubuntu users can install it with `apt install python3`. Others can download it from [the Python download page](https://www.python.org/downloads/)
  * You have [GNU R 3.x](https://www.r-project.org/) installed. Debian and Ubuntu users can install it with `apt install r-base`. Others can install it from [the R homepage](https://www.r-project.org/). In our testing we used versions GNU R versions 3.3.2 and 3.4.1.
  * To conduct the bibliometric network analysis, you'll need the [igraph library](http://igraph.org/). To install it on Debian or Ubuntu you can run `apt install libigraph0v5`.
@@@ -165,7 -163,7 +165,7 @@@ Doing this will require two final steps
  
  The code used for our bibliometric analysis is contained within the `code/bibliometrics/` subdirectory.
  
- We've included two copies of our Python code for our bibliometric analysis in the files `00_citation_network_analysis.py` and `00_citation_network_analysis.ipynb`. We will describe using the former in this section. If you have [Juypter](https://jupyter.org/) installed you can open the file in a a notebook format used by many scientists by running `jupyter-notebook citation_network_analysis.ipynb`. If you want to try Jupyter, Debian and Ubuntu users can install it with `apt install jupyter-notebook` and other users can download it [here](https://jupyter.org/install.html).
+ We've included two copies of our Python code for our bibliometric analysis in the files `00_citation_network_analysis.py` and `00_citation_network_analysis.ipynb`. We will describe using the former in this section. If you have [Jupyter](https://jupyter.org/) installed you can open the file in a a notebook format used by many scientists by running `jupyter-notebook citation_network_analysis.ipynb`. If you want to try Jupyter, Debian and Ubuntu users can install it with `apt install jupyter-notebook` and other users can download it [here](https://jupyter.org/install.html).
  
  Our bibliometric analysis code does require one additional piece of software called [Infomap](http://www.mapequation.org/) which we use to identify clusters in our citation network. There are some [instructions online](https://github.com/mapequation/infomap) but you can download and install it with the following commands run from the `code/bibliometrics` subdirectory: