TY - GEN
T1 - Approximating Temporal Networks from Aggregated Network Data
AU - Ghawi, Raji
AU - Benzinger, Michael
AU - Pfeffer, Jurgen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Temporal network data is typically provided in the form of temporal edge lists, where pairs of connected nodes are associated with their interaction timestamps, enabling construction of network snapshots in accumulative or interval manners. For data privacy and/or data storage purposes, data can be instead available only in an aggregated form with the first- and last interaction times and the frequency. In this paper we address the problem of reconstructing temporal networks from aggregated network data. We propose an approach to derive approximate interaction times through linear interpolation over edge time-spans. Our experiments show the feasibility of constructing approximate temporal networks, where the errors are minimal for longer intervals and/or intervals closer to the boundaries of the system lifespan.
AB - Temporal network data is typically provided in the form of temporal edge lists, where pairs of connected nodes are associated with their interaction timestamps, enabling construction of network snapshots in accumulative or interval manners. For data privacy and/or data storage purposes, data can be instead available only in an aggregated form with the first- and last interaction times and the frequency. In this paper we address the problem of reconstructing temporal networks from aggregated network data. We propose an approach to derive approximate interaction times through linear interpolation over edge time-spans. Our experiments show the feasibility of constructing approximate temporal networks, where the errors are minimal for longer intervals and/or intervals closer to the boundaries of the system lifespan.
KW - aggregated data
KW - interpolation
KW - interval compression
KW - temporal networks
UR - https://www.scopus.com/pages/publications/85183468660
U2 - 10.1109/SNAMS60348.2023.10375411
DO - 10.1109/SNAMS60348.2023.10375411
M3 - Conference contribution
AN - SCOPUS:85183468660
T3 - Proceedings - 2023 10th International Conference on Social Networks Analysis, Management and Security, SNAMS 2023
BT - Proceedings - 2023 10th International Conference on Social Networks Analysis, Management and Security, SNAMS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Social Networks Analysis, Management and Security, SNAMS 2023
Y2 - 21 November 2023 through 24 November 2023
ER -