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12

Nejat Arınık CV


Short biography

Nejat Arınık is a PhD candidate at Avignon University since september 2017. His PhD is about partitioning methods related to Structural Balance theory, in which two different disciplines are brought together: Data Mining and Operations Research. Before his PhD studies, he received his Computer Engineering (Bachelor degree) at Galatasaray University (Turkey) in 2015 and received his engineer’s degree (equivalent to Master of Science) in computer science from INSA of Lyon (France) in 2016.

Contact:

  • Address: LIA-CERI, 339 chemin des Meinajariès, BP 1228, 84911 Avignon Cedex 9, France
  • Email: nejat.arinik@univ-avignon.fr

 


Journal articles3 documents

  • Nejat Arinik, Vincent Labatut, Rosa Figueiredo. Characterizing and comparing external measures for the assessment of cluster analysis and community detection. IEEE Access, IEEE, 2021, 9, pp.20255-20276. ⟨10.1109/ACCESS.2021.3054621⟩. ⟨hal-03124118⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple partitioning of multiplex signed networks: Application to European parliament votes. Social Networks, Elsevier, 2020, 60, pp.83-102. ⟨10.1016/j.socnet.2019.02.001⟩. ⟨hal-02082574v3⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. Journal of Complex Networks, Oxford University Press, 2020, 8 (6), pp.cnaa025. ⟨10.1093/comnet/cnaa025⟩. ⟨hal-02994011⟩

Conference papers7 documents

  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Characterizing measures for the assessment of cluster analysis and community detection. 11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier (en ligne), France. pp.4. ⟨hal-02993542⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple Partitioning of Multiplex Signed Networks. 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France. ⟨hal-02428300⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Multiple Optimal Solutions but Single Search: A Study of the Correlation Clustering Problem. 20ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF), Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2019, Le Havre, France. ⟨hal-02051683⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Exploiting Antagonistic Relations in Signed Graphs under the Structural Balance Hypothesis. PGMO Days, Dec 2018, Paris, France. ⟨hal-01939893⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Study of the European Parliament votes through the multiple partitioning of signed multiplex networks. 29th European Conference On Operational Research (EURO), Jul 2018, Valencia, Spain. ⟨hal-01939888⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. 9ème Conférence Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques (MARAMI 2018), Oct 2018, Avignon, France. ⟨hal-01933679⟩
  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. Signed Graph Analysis for the Interpretation of Voting Behavior. International Conference on Knowledge Technologies and Data-driven Business (i-KNOW), Oct 2017, Graz, Austria. ⟨hal-01583133v3⟩

Reports1 document

  • Nejat Arinik, Rosa Figueiredo, Vincent Labatut. 2-Edge Connected Balanced Subgraphs for Correlation Clustering Problem. [Research Report] Avignon Université. 2020. ⟨hal-02428305⟩

Software1 document