References extracted from an archived version of the hyperfiction novel "The Unknown"

This repository contains reference data extracted from an archived version of the hyperfiction novel "The Unknown". [1] Archiving was done with `wget`, data was written to a WARC file. We can't provide the WARC file here due to copyright reasons, but we're happy to provide the WARC file upon request, e.g. if you want to reproduce our findings starting from the original WARC.

All reference data has been extracted using warc2graph, a Python package available via the Python Package Index and on Github: https://github.com/dla-marbach/warc2graph/ . This software is under development, extraction for this study was done with version 0.1.1.

We use the term reference data as warc2graph extracts more information than what is defined as a link in the HTML 5 specification. For more info about the data model see (Schlesinger, Blessing, Hein, Ulrich 2021). [2]

We provide the following files, which are all derivatives of the original WARC file. Gephi files contain layout decisions and reduced data according to our research question and as presented in our presentation of this study at DH 2022.

• extracted-references.complete.the-unknown.hypertext-novel.gexf: full reference data extracted with warc2graph in GEXF format.
• extracted-references.internal-only.the-unknown.hypertext-novel.gephi: internal links only (= no links pointing to sites other than unknownhypertext.com), Gephi format.
• extracted-references.internal-only.no-navigation.the-unknown.hypertext.novel.gephi: internal links only, minus nodes that mirror the navigation menu on the bottom of very many pages, Gephi format.
• external_links: list of outgoing links, plain text format

[1] Gillespie, William, Scott Rettberg, and Dirk Stratton. ‘The Unknown’, 2002 1998. https://unknownhypertext.com/.

[2] Schlesinger, Claus-Michael, Mona Ulrich, André Blessing, and Pascal Hein. ‘Networks of Net Literature - Modelling, Extracting and Visualizing Link-Based Networks in the DLA Corpus of Net Literature’. Bergen: ELMCIP, 2021. https://elmcip.net/node/16380.