Im Rahmen des DH-Kolloquiums an der BBAW laden wir Sie herzlich zum nächsten Termin am Montag, den 29. September 2025, 16 Uhr c.t., ein (virtueller Raum: https://meet.gwdg.de/b/lou-eyn-nm6-t6b):

Fernanda Alvares Freire (BBAW, TELOTA)

This presentation explores how Social Network Analysis (SNA) can be applied to study social interactions as represented in historical letter corpora. By combining qualitative text analysis with Social Network Analysis (SNA), the approach models and visualizes interpersonal relations to investigate patterns of interaction, the roles of key actors, and the structure of historical communities. As one of the largest collections from the Hellenistic period, the letters and documents of the Zenon archive provide rich information about administrative, economic, and personal networks and serve as an exemplary use case to the approach. Applying SNA to this corpus highlights the potential and challenges of working with large corpora of written communication and serves as an example of how this framework can be extended to other epistolary datasets.

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Die Veranstaltung findet virtuell statt; eine Anmeldung ist nicht notwendig. Zum Termin ist der virtuelle Konferenzrraum über den Link https://meet.gwdg.de/b/lou-eyn-nm6-t6b erreichbar. Wir möchten Sie bitten, bei Eintritt in den Raum Mikrofon und Kamera zu deaktivieren. Nach Beginn der Diskussion können Wortmeldungen durch das Aktivieren der Kamera signalisiert werden.

Der Fokus der Veranstaltung liegt sowohl auf praxisnahen Themen und konkreten Anwendungsbeispielen als auch auf der kritischen Reflexion digitaler geisteswissenschaftlicher Forschung. Weitere Informationen finden Sie auf der Website der BBAW.

Designed for researchers in the humanities and cultural sciences, this workshop of the DH Lab of the Leibniz Institute of European History (IEG) as part of the Data Competence Centre HERMES – Humanities Education in Research, Data, and Methods offers a practical, supportive and cooperative space to deepen knowledge of Historical Network Analysis. By the end of the Bring Your Own Data Lab, participants will be able to apply more confidently network analysis methods to their own data sets.

Date and Place:

17.-18.10.2024 at the Leibniz Institute of European History (IEG), Mainz

Aims and Contents:

This workshop focuses on the application of network analysis to historical research, offering a hands-on opportunity for participants to engage with their own datasets. Through interdisciplinary collaboration and expert guidance, we will explore how network analysis can be used to uncover connections, patterns, and relationships within historical data. The workshop will provide insights into both the methodological challenges and the opportunities that arise when applying digital tools to historical inquiry, fostering a dynamic exchange between academics and practitioners in the field.

The current programme and additional details can be found here.

Funding:

Federal Ministry of Education and Research (BMBF)
Funded by the European Union – NextGenerationEU

This hybrid round-table and workshop is co-organized between LECTIO, KU Leuven, and the University of Utrecht. Event dates: 11-12 May. Registration deadline: 30 April 2021.

Over two days, participants will have the chance to try a hands-on approach to network analysis, with a mix of practical workshops and presentations of ongoing projects (by LECTIO members). The keynote speakers will be prof. Dirk Van Miert (University of Utrecht), presenting the ERC project “Sharing Knowledge in Learned and Literary Networks – The Republic of Letters as a Pan- European Knowledge Society” and Prof. Bart Thijs (KU Leuven) on “Recognizing Patterns: the application of Deep Learning in Network Analysis”. More information below!

Programme – 11 May (Teams)

16:00-16:10

Welcome session by the workshop organizers

16:10-16:45

Margherita Fantoli, KU Leuven Institute LECTIO
Introduction to network analysis

17:00-18:00

Dirk van Miert, University of Utrecht – Keynote lecture
A network perspective of the Republic of Learning: expectations, problems, solutions, results and recommendations

Programme – 12 May (Teams & in person)

09:30-10:15

Mark Depauw, KU Leuven Institute LECTIO (fully booked*)
From relational databases to network analysis: the case of Trismegistos

10:15-11:30

Yanne Broux, KU Leuven (fully booked*)
Hands-on session: using Gephi

12:00-13:00

Bart Thijs, KU Leuven Institute Leuven.AI – Keynote Lecture
Recognizing Patterns: the application of Deep Learning in Network Analysis

For more information about the event, including registration information and abstracts of each of the talks, check out this link.

*The hands-on portions of the event are full, but it is still possible to get on a waiting list.

Starting Tuesday 9 February 2021, there will be a monthly series of interesting symposia hosted by the Centre for Early Modern Studies at the University of Limerick. While specifically organized under the guise of Early Modern History, these virtual events will be useful for people across a wide range of skill levels and periods of specialization.

To give some context, the four sessions will cover network analysis, text analysis, databases, and geographic information systems (more commonly called GIS), respectively. Obviously, while those topics are useful specifically to historians, they can also be relevant to people studying literature, or urban development, or indeed someone who is studying protest movements. So I would urge the DH Master’s students of KU Leuven and anyone else interested in these topics to register for these events!

The seminars will be held in English and include a range of scholars and library staff from Ireland, England, the Netherlands, Northern Ireland, Scotland, and Switzerland. Click on the link here for more information from the University of Limerick about how to register!