We thought that this post from December 2015 was still relevant today. In short, it shows how you can take web archive network files generated by our research team and analyze them yourselves using the open-source Gephi package.
Even more excitingly, there’s many more Gephi files available today for your analysis. To find them, visit our network data page here: https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=hdl:10864/12040. It grows on a regular basis!
Do you want to make this link graph yourself from our data? Read on.
As part of our commitment to open data – in keeping with the spirit and principles of our funding agency, as well as our core scholarly principles – our research team is beginning to release derivative data. The first dataset that we are releasing is the Canadian Political Parties and Interest Groups link graph data, available in our Scholars Portal Dataverse space.
The first file is
all-links-cpp-link.graphml, a file consisting of all of the links between websites found in the our collection. It was generated using warcbase’s function that extracts links and writes them to a graph network file, documented here. The exact script used can be found here.
However, releasing data is only useful if we show people how they can use it. So! Here you go.
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