Mary Anne Rawson's The Bow in the Cloud (1834): A Digital Edition and Network Analysis

Network Analysis

Network analysis visualisations allow us to investigate the various connections between Scalar pages in this vast and complicated anti-slavery collection. The visualisations below are prototypes that are meant to show what is possible with network analysis tools. There are several ways to visualise this project using alternative network visualisations. The idea of this section is to offer multiple pathways into discovering various elements of the digital edition.

The network graph below maps all of the connections between pages in this project. These connections include places, people, topics, types of document, genre, and other semantic categories. By clicking on a dot (or a node) you will see a "View" button that allows you to investigate further the individual nodes and their page contents.

Blue dots are published pieces in the anthology with 'textual paths' (i.e., manuscript versions). Green dots are IIIF media pages of the manuscript pages relating to published anthology pieces. Yellow dots are pages in the anthology without a child relation (i.e. without a page nested within it). Red dots are semantic tags (people, places, genres, thematic categories).



The graph below takes a subset of the full network graph above and shows only the relationships between tags (red dots), which might be helpful for identifying 'semantic connections' between documents such as place names, genres, or themes. For example, selecting the red semantic tag for "Correspondence" shows you connections to all letters; selecting the "Domesticity" tag shows all documents with domestic themes (family, motherhood, e.g.); or selecting the "Liverpool (England)" tag shows you all documents connected to Liverpool.


The information in the full network graph can also be rendered in a linear "tree" format (if you hover over the visualisation you can zoom in or out). Moving from left to right, the tree visualises how the collection is organised and nested within the edition's four main categories (Paths, Pages, Tags, Media Files). The individual nodes (dots) are listed in alphabetical order. Selecting a node will either reveal or hide its nested contents.


 

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