Martin Grandjean University of Lausanne
Source files of a network analysis based on the archives of the League of Nations' International Committee on Intellectual Cooperation (ICIC) between 1919 and 1927. These data are made public and available to the community for testing, further analysis, or simply as a training data set.
To cite this data set:
GRANDJEAN Martin (2018). The Network of Intellectual Cooperation, Data set, https://github.com/grandjeanmartin/intellectual-cooperation. DOI 10.5281/zenodo.1257287
To cite the 2018 thesis:
GRANDJEAN Martin (2018). Les réseaux de la coopération intellectuelle, la Société des Nations comme actrice des échanges scientifiques et culturels dans l'entre-deux-guerres, Université de Lausanne, Lausanne, 600p. [PDF here]
To cite the 2026 book:
GRANDJEAN Martin (2026). La coopération intellectuelle. Relations scientifiques et diplomatie culturelle à la Société des Nations (1919–1939), Neuchâtel, Editions Alphil-Presses Universitaires Suisses. [PDF here]
> FILE 1 NETWORK: GEPHI file (A file that can be opened directly with Gephi)
> FILE 2 NETWORK: GRAPHML.JSON (The file that is opened in Gephi Lite, see "Interactive network visualization" below)
> FOLDER All the illustrations from the book are included in the book/images folder. But it's easier to view them through the companion website, which allows you to load them more efficiently. PNG 150dpi (72dpi for the large ones), ask the author if you want high quality versions.
> FILE 3 WEBSITE: HTML page (This is actually a backup copy of the one currently displayed on intellectualcooperation.org/la-cooperation-intellectuelle)
> FILE 4 EDGES: CSV file containing 26.5K lines (source, target, type, weight)
> FILE 5 NODES: CSV file containing 3.2K lines (id, name, first name, affiliation, gender, indexations)
> FILE 6 METRICS: PDF file containing 2.8K lines (indexations, degree, weighted degree, closeness, betweenness, eigenvector) Also available as a CSV
This additional dataset is built on the previous one by adding level 1 nodes (organizations), level 2 nodes (top organizations), internal edges in these layers (with a weight >1 to be more visible) and affiliation edges between the layers.
> FILE 7 EDGES: XLSX file containing 29.8K lines (source, target, type, weight, level)
> FILE 8 NODES: XLSX file containing 3.2K lines (id, name, first name, affiliation, gender, indexations, level name, level number)
The proposed visualization has been produced with the Network Splitter 3D Gephi plugin.
A file that explains the meanings of the abbreviations used to classify the nodes above.
> FILE 9 CLASSIFICATION: CSV file containing 41 lines (abbreviated category, category name, group of categories)
Forthcoming
The data is shared under a CC-BY-SA 4.0 License.
Papers using these data sets :
GRANDJEAN Martin (2019). Analyzing and Visualizing the Complexity and Multidimensionality of an Historical Network, DARIAH-CH. PDF
GRANDJEAN Martin (2018). Towards the Formalization of Metadata Network Analysis in History: a Complex and Multidimensional Case Study, DARIAH-CH. PDF
GRANDJEAN Martin (2017). Analisi e visualizzazioni delle reti in storia : l'esempio della cooperazione intellettuale della Società delle Nazioni, Memoria e Ricerca, 25, 2, 371-393. DOI 10.14647/87204 / PDF in french / Summary
GRANDJEAN Martin (2017). Multimode and Multilevel: Vertical Dimension in Historical and Literary Networks, Digital Humanities 2017. PDF
GRANDJEAN Martin (2016). Archives Distant Reading: Mapping the Activity of the League of Nations' Intellectual Cooperation, Digital Humanities 2016, 531-534. PDF
GRANDJEAN Martin (2016). Social Network Analysis of the League of Nations' Intellectual Cooperation, an Historical Distant Reading, Digital Humanities Benelux 2016. PDF
GRANDJEAN Martin (2015). Introduction à la visualisation de données : l'analyse de réseau en histoire, Geschichte und Informatik, 18/19, 109-128. PDF
GRANDJEAN Martin (2014). La connaissance est un réseau : perspective sur l'organisation archivistique et encyclopédique, Les Cahiers du Numérique, 10, 3, 37-54. DOI 10.3166/lcn.10.3.37-54 / PDF