Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
LP-F1E: Network analysis
Time:
Friday, 14/July/2023:
9:00am - 10:30am

Session Chair: Mihaela Viorica Ilovan, University of Alberta / Canadiana Writing Research Collaboratory (CWRC)
Location: MCG-E


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Presentations

Enlightenment Inflluencers: Networks of Text Reuse in 18th-century France

Glenn Roe, Valentina Fedchenko, Dario Nicolosi

ModERN Project, Sorbonne University, France

The ERC-funded ModERN project is investigating 18th-century authorship practices using data-rich computational techniques to examine the digital archive of the Enlightenment period. This paper explores the use of new large-scale text reuse detection and network analysis to identify intertextual ‘influencers’ in a large heterogeneous collection of 18th-century French texts.



Networks at Scale. A Metadata-Based Approach to Detecting Links Between Fanfiction-Communities

Judith Brottrager, Anastasia Glawion, Katharina Herget, Thomas Weitin

TU Darmstadt, Germany

This contribution demonstrates a metadata-based approach to analyzing user networks of a German-language fanfiction website. Initially divided into clusters based on louvain modularity, the network is further modified to reveal the level of mutual interaction between reader-writers. The links are then categorized by various attributes, including genre and age restriction.



Mapping German Fiction in Translation: Visualizing Translationalism in the German National Library Catalogue

Lisa Teichmann

Université de Montréal, Canada

In this paper I present a bibliographic dataset of German fiction in translation consisting of over 35,000 translated titles and 6,000 authors extracted from the German National Library. I further propose a quantitative model for visualizing translationalism in the catalogue by combining social network analysis, descriptive statistics, and geomapping.



 
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