Community detection, a powerful tool for uncovering hidden structures within networks, lacks a universally accepted definition. Atefeh Moradan's research addresses key challenges in community detection, particularly within complex networks, and explores its practical applications in knowledge graphs. By integrating graph theory and machine learning, she has developed a unified model capable of identifying various types of communities in complex networks. Atefeh extends her work to practical applications like entity summarization in knowledge graphs. Her research enhances theoretical understanding while providing practical solutions for graph-based data analysis, demonstrating the broad applicability of community detection techniques across various domains.

The PhD study was completed at department of computer science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 8 November 2024. at 13:00
Place: Building 5342, room 333, Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N, Denmark.
Title of PhD thesis: On the Expressiveness of Community Detection in Complex Networks
Contact information: Atefeh Moradan, e-mail: atefeh.moradan@cs.au.dk, tel.: +4550242727
Members of the assessment committee:
Associate Associate Professor Michael Mathioudakis, Department of Computer Science, University of Helsinki, Finland
Associate Professor Gianmaria Silvello, Department of Information Engineering, University of Padua, Italy
Associate Professor Chris Schwiegelshohn (chair), Department of Computer Science, Aarhus University, Denmark
Main supervisor:
Professor Ira Assent, Department of Computer Science, Aarhus University, Denmark
Co-supervisor:
Associate Professor Davide Mottin, Department of Computer Science, Aarhus University, Denmark
Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Natural Sciences/GSNS, Ny Munkegade 120, building 1521, 8000 Aarhus C