Signed Graph Analysis for the Interpretation of Voting Behavior. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (CoRR, 2017)

Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (CoRR, 2018)

Characterizing measures for the assessment of cluster analysis and community detection (extended abstract). - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (MARAMI, 2020)

Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (CoRR, 2020)

Multiple partitioning of multiplex signed networks: Application to European parliament votes. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (Soc. Networks, 2020)

Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection. - Nejat Arinik; Vincent Labatut; Rosa Figueiredo 001 (IEEE Access, 2021)

Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (J. Complex Networks, 2021)

Multiplicity in the Partitioning of Signed Graphs. (Multiplicité dans la partitionnement de graphes signés). - Nejat Arinik (2021)

An Evaluation Framework for Comparing Epidemic Intelligence Systems. - Nejat Arinik; Roberto Interdonato; Mathieu Roche; Maguelonne Teisseire (IEEE Access, 2023)

Efficient enumeration of the optimal solutions to the correlation clustering problem. - Nejat Arinik; Rosa Figueiredo 001; Vincent Labatut (J. Glob. Optim., 2023)

Whole-Graph Representation Learning for the Classification of Signed Networks. - Noé Cecillon; Vincent Labatut; Richard Dufour; Nejat Arinik (IEEE Access, 2024)