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).
Please note that all times are shown in the time zone of the conference. The current conference time is: 14th June 2025, 06:13:27pm WEST
Inferring Semantic Social Networks from Scientific Texts: The Case of Astrobiology
Christophe Malaterre1,2, Francis Lareau1,2,3
1University of Québec in Montréal (UQAM), Canada; 2CIRST, Canada; 3Sherbrooke University, Canada
We present a method for inferring semantic social networks from textual data by analyzing terminological similarities using topic modeling. Applied to a corpus of 3,698 scientific articles in astrobiology, this approach identifies "hidden communities of interest" (HCoIs)—groups with shared semantic content—and enables diachronic analysis of community evolution.
Plato’s Presence and Beyond: Co-Occurrence Networks in Ancient Greek and Latin Literature
Evelien de Graaf
KU Leuven, Belgium
This study employs Network Theory to investigates the similarities and differences in co-occurrences within Ancient Greek and Latin texts from pre-Christianity and during the early Christian period. The case study focusses on mentions surrounding mentions of Plato in these texts.
A mixed-methods approach to study discourses on Twitter about the German anti-hate speech law NetzDG
Jens Pohlmann1, Caio Mello2, Karin León Henneberg3
1UC Davis, United States of America; 2Luxembourg Centre for Contemporary and Digital History (C2DH), Luxembourg; 3University of Bremen, Germany
This paper examines debates on a German anti-hate speech law called Netzwerkdurchsetzungsgesetz (NetzDG) on Twitter/X. By applying network analysis, NLP methods, and close reading, it investigates content published by the most retweeted accounts mentioning the law, considering their potentially high influence in shaping the discussion on the platform.
NHS, CDC, and WHO Twitter Health Communication: A Preliminary Shiny App
Katherine Ireland
University of Georgia, United States of America
This work discusses ongoing tests and development of an R Shiny Web Application to visualize a dataset of National Health Service, Centers for Disease Control and Prevention, and World Health Organization Tweets during 2020. Interactive visualizations display different text analytics using tidytext and quanteda.
Gephi Lite: a lighter web based version of Gephi
Paul Girard1, Alexis Jacomy1, Benoît Simard1, Mathieu Jacomy2
1OuestWare, France; 2Aalborg University, Denmark
Gephi Lite, a web based and lighter version of Gephi, aims at pursuing Gephi original ambition: democratizing network visualisation edition through visual means. In this paper we present what the web does to network visualisation edition while presenting Gephi Lite main features.
