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:
projects / social-media-chapter.git / blobdiff