Georgios Panayiotou
Doktorand vid Institutionen för informationsteknologi; Datalogi
- E-post:
- georgios.panayiotou@it.uu.se
- Besöksadress:
- Hus 10, Regementsvägen 10
- Postadress:
- Box 337
751 05 UPPSALA
Biografi
Georgios is a Ph.D. candidate in Computer Science at InfoLab, Uppsala University, Sweden. His research focuses on complex network data engineering. He is particularly interested in methods for the management and fairness-aware mining of multilayer networks, as well as their applications within computational social science.
Forskning
network science, feature-rich networks, multilayer networks, algorithmic fairness, computational social science
Publikationer
Urval av publikationer
Senaste publikationer
Anatomy of a Swedish population-scale network
Ingår i Scientific Reports, 2025
- DOI för Anatomy of a Swedish population-scale network
- Ladda ner fulltext 1 (pdf) av Anatomy of a Swedish population-scale network
- Ladda ner fulltext 2 (pdf) av Anatomy of a Swedish population-scale network
Towards intersectional fairness in community detection
Ingår i Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media, 2025
Fair-mod: Fair Modular Community Detection
Ingår i Complex Networks & Their Applications XIII, s. 91-102, 2025
Current challenges in multilayer network engineering
Ingår i Applied Network Science, 2024
- DOI för Current challenges in multilayer network engineering
- Ladda ner fulltext (pdf) av Current challenges in multilayer network engineering
Alla publikationer
Artiklar i tidskrift
Anatomy of a Swedish population-scale network
Ingår i Scientific Reports, 2025
- DOI för Anatomy of a Swedish population-scale network
- Ladda ner fulltext 1 (pdf) av Anatomy of a Swedish population-scale network
- Ladda ner fulltext 2 (pdf) av Anatomy of a Swedish population-scale network
Current challenges in multilayer network engineering
Ingår i Applied Network Science, 2024
- DOI för Current challenges in multilayer network engineering
- Ladda ner fulltext (pdf) av Current challenges in multilayer network engineering
Konferensbidrag
Towards intersectional fairness in community detection
Ingår i Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media, 2025
Fair-mod: Fair Modular Community Detection
Ingår i Complex Networks & Their Applications XIII, s. 91-102, 2025