A Generalized Notion of Time for Modeling Temporal Networks

Konstantin Kueffner, Mark Strembeck

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.

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Paper Citation


in Harvard Style

Kueffner K. and Strembeck M. (2019). A Generalized Notion of Time for Modeling Temporal Networks.In Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-366-7, pages 93-100. DOI: 10.5220/0007764000930100


in Bibtex Style

@conference{complexis19,
author={Konstantin Kueffner and Mark Strembeck},
title={A Generalized Notion of Time for Modeling Temporal Networks},
booktitle={Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2019},
pages={93-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007764000930100},
isbn={978-989-758-366-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - A Generalized Notion of Time for Modeling Temporal Networks
SN - 978-989-758-366-7
AU - Kueffner K.
AU - Strembeck M.
PY - 2019
SP - 93
EP - 100
DO - 10.5220/0007764000930100