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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.<\/jats:p>","DOI":"10.1007\/s41109-021-00368-5","type":"journal-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:07:57Z","timestamp":1616616477000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Dynamic centrality measures for cattle trade networks"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8001-348X","authenticated-orcid":false,"given":"Patrick","family":"Hoscheit","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c9ric","family":"Anthony","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisabeta","family":"Vergu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"issue":"2","key":"368_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/SYM11020284","volume":"11","author":"T Agryzkov","year":"2019","unstructured":"Agryzkov T, Curado M, Pedroche F, Tortosa L, Vicent JF (2019) Extending the adapted PageRank algorithm centrality to multiplex networks with data using the PageRank two-layer approach. 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