Bonjour, 
J’essaie de faire un simple réseau de collaboration entre auteurs. J’ai pour ça importé un csv avec une colonne auteurs et une colonne article. Chaque ligne est identifié par un couple article-auteur. Mais lorsque j’essaie de faire un mapping sur la colonne auteurs avec la mesure “raw” comme préconisé j’ai l’erreur suivante “469490” (voir log ci dessous pour les détails). J’ai essayé de faire ce qui est indiqué sur cette réponse : https://docs.cortext.net/question/network-mapping-error-the-network-you-produced-is-empty-please-review-the-choice-of-your-parameters-homogeneous-network-of-twitter-hashtags/ sans succès non plus. J’ai aussi essayé de mettre la mesure en automatique sans succès non plus. Je n’arrive pas à savoir si le problème vient du corpus ou du mapping.
Merci d’avance !

2026-05-05 18:26:32 INFO : Script Network Mapping Started
2026-05-05 18:26:33 INFO :
Nodes Selection:
First Field: auteurs
Second Field: auteurs
Number of nodes: ‘150’
Nodes advanced settings: false
Edges:
Automatically define the Proximity Measure: false
Proximity Measure: raw
Edges filtering advanced settings: false
Edges advanced settings: false
Dynamics:
Choose Original Timescale: Standard Periods
Number of time slices: ‘1’
time slices distribution: homogeneous
Overlapping periods: false
sequencing: snapshot
Network Analysis and layout:
Community detection algorithm: louvain resolution
Resolution parameter: ‘1’
Historical map: false
Project records onto clusters: true
Modify the name of the projected cluster: ”
Assign a unique cluster to each record (best match): true
Penalize large clusters when computing projections: false
Add information from a 3rd variable to tag clusters or produce a heatmap: false
Network analysis advanced settings: false

2026-05-05 18:26:33 INFO : rawproximity measure will be used to compute the network
2026-05-05 18:26:33 INFO : dividing dataset in 1 period(s)
2026-05-05 18:26:33 INFO : Loading data
2026-05-05 18:26:33 INFO : From field1 (auteurs) 150 different items were extracted in period 0_0 (5 first): [u’J\xe9r\xe9mie D Lebrun’, u’M\xe9lanie Raimonet’, u’Agn\xe8s Ducharne’, u’R\xe9gis Moilleron’, u’Guillaume Morin’]
2026-05-05 18:26:33 INFO : Building cooccurrence matrix
2026-05-05 18:26:33 INFO : Building proximity matrix
2026-05-05 18:26:33 INFO : Computing micro-level network threshold
2026-05-05 18:26:33 INFO : Optimal proximity threshold determined for each period: {‘0_0′: 99.98000000001424}
2026-05-05 18:26:33 INFO : Setting a global threshold for every network
2026-05-05 18:26:33 INFO : Final proximity threshold is 99.98
2026-05-05 18:26:33 INFO : Anayze cluster structure
2026-05-05 18:26:33 INFO : Optimal Modularity obtained by Louvain Algorithm for network at period 0_0 is ?
2026-05-05 18:26:33 INFO : resolution parameter for the network is 1.0
2026-05-05 18:26:33 INFO : Intertemporal Threshold computed: 0.0
2026-05-05 18:26:33 INFO : Now computing high-level network
2026-05-05 18:26:33 INFO : no link found in the river network
2026-05-05 18:26:33 INFO : Projecting article onto clusters
2026-05-05 18:26:33 DEBUG : findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans (u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’) with score of 0.050000
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 INFO : After filtering, the network (period:0_0) has 0 nodes and 0 edges.
2026-05-05 18:26:33 INFO : Drawing map for period: 0_0
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 DEBUG : Assigning font /F1 = u’/usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf’
2026-05-05 18:26:33 DEBUG : Embedding font /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/fonts/ttf/DejaVuSans.ttf.
2026-05-05 18:26:33 DEBUG : Writing TrueType font.
2026-05-05 18:26:33 INFO : Wrapping up results
2026-05-05 18:26:33 INFO : Generating map explorer interface data
2026-05-05 18:26:33 DEBUG : Apparently at least one of the network you produced is empty, please review the choice of your parameters (fields and proximity metric choice)