TY - JOUR AU - Hoscheit, Patrick AU - Anthony, Éric AU - Vergu, Elisabeta PY - 2021 DA - 2021/03/24 TI - Dynamic centrality measures for cattle trade networks JO - Applied Network Science SP - 26 VL - 6 IS - 1 AB - We study network centrality measures that take into account the specific structure of networks with time-stamped edges. In particular, we explore how such measures can be used to identify nodes most relevant for the spread of epidemics on directed, temporal contact networks. We present a percolation study on the French cattle trade network, proving that time-aware centrality measures such as the TempoRank significantly outperform measures defined on the static network. In order to make TempoRank amenable to large-scale networks, we show how it can be efficiently computed through direct simulation of time-respecting random walks. SN - 2364-8228 UR - https://doi.org/10.1007/s41109-021-00368-5 DO - 10.1007/s41109-021-00368-5 ID - Hoscheit2021 ER -