Nejat Arinik

J. Glob. Optim., June, 2023

An Evaluation Framework for Comparing Epidemic Intelligence Systems.

[BibT_eX]

[DOI]

IEEE Access, 2023

2021

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

[BibT_eX]

[DOI]

PhD thesis, 2021

Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs.

[BibT_eX]

[DOI]

J. Complex Networks, 2021

Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Multiple partitioning of multiplex signed networks: Application to European parliament votes.

[BibT_eX]

[DOI]

Soc. Networks, 2020

Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Characterizing measures for the assessment of cluster analysis and community detection (extended abstract).

[BibT_eX]

[DOI]

Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques, 2020

2018

Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Signed Graph Analysis for the Interpretation of Voting Behavior.

[BibT_eX]

[DOI]