Abstract
Most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion
of time. In this paper, we therefore introduce a generalized notion of time for temporal networks. Our
approach also allows for considering non-deterministic time and incomplete data, two issues that are often
found when analyzing data-sets extracted from online social networks, for example. In order to demonstrate
the consequences of our generalized notion of time, we also discuss the implications for the computation of
(shortest) temporal paths in temporal networks.
of time. In this paper, we therefore introduce a generalized notion of time for temporal networks. Our
approach also allows for considering non-deterministic time and incomplete data, two issues that are often
found when analyzing data-sets extracted from online social networks, for example. In order to demonstrate
the consequences of our generalized notion of time, we also discuss the implications for the computation of
(shortest) temporal paths in temporal networks.
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS) |
| Herausgeber*innen | Víctor Méndez Muñoz, Farshad Firouzi, Ernesto Estrada,Victor Chang |
| Erscheinungsort | Heraklion, Crete, Greece |
| Verlag | SciTePress |
| Seiten | 93 - 100 |
| ISBN (Print) | 978-989-758-366- |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2019 |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 101
- 102
- 202031 Netzwerktechnik
- 102022 Softwareentwicklung
- 505002 Datenschutz
- 509