Dynamical Patterns of Cattle Trade Movements, PLoS ONE, vol.333, issue.1, 2011. ,
DOI : 10.1371/journal.pone.0019869.s005
URL : https://hal.archives-ouvertes.fr/hal-00594746
Optimizing surveillance for livestock disease spreading through animal movements, Journal of The Royal Society Interface, vol.388, issue.19, pp.2814-2825, 2012. ,
DOI : 10.1016/j.physa.2008.11.021
URL : https://hal.archives-ouvertes.fr/hal-00766126
Graph structure in the Web, Computer Networks, vol.33, issue.1-6, pp.309-320, 2000. ,
DOI : 10.1016/S1389-1286(00)00083-9
Efficient Interruption of Infection Chains by Targeted Removal of Central Holdings in an Animal Trade Network, PLoS ONE, vol.32, issue.9, 2013. ,
DOI : 10.1371/journal.pone.0074292.t006
Quality assessment of static aggregation compared to the temporal approach based on a pig trade network in Northern Germany, Preventive Veterinary Medicine, vol.129, pp.1-8, 2016. ,
DOI : 10.1016/j.prevetmed.2016.05.005
Comparing Network Analysis Measures to Determine Potential Epidemic Size of Highly Contagious Exotic Diseases in Fragmented Monthly Networks of Dairy Cattle Movements in Ontario, Canada, Transboundary and Emerging Diseases, vol.134, issue.9-10, pp.382-392, 2008. ,
DOI : 10.1017/CBO9780511815478
Characteristics of the spatio-temporal network of cattle movements in France over a 5-year period, Preventive Veterinary Medicine, vol.117, issue.1, pp.79-94, 2014. ,
DOI : 10.1016/j.prevetmed.2014.09.005
Birth and death of links control disease spreading in empirical contact networks, Scientific Reports, vol.60, issue.1, p.4999, 2014. ,
DOI : 10.1006/tpbi.2001.1525
Temporal networks, Physics Reports, vol.519, issue.3, pp.97-125, 2012. ,
DOI : 10.1016/j.physrep.2012.03.001
Unfolding Accessibility Provides a Macroscopic Approach to Temporal Networks, Physical Review Letters, vol.110, issue.11, pp.1-5, 2013. ,
DOI : 10.1073/pnas.0914080107
URL : http://arxiv.org/abs/1210.2283
Network analysis of Italian cattle trade patterns and evaluation of risks for potential disease spread, Preventive Veterinary Medicine, vol.92, issue.4, pp.341-350, 2009. ,
DOI : 10.1016/j.prevetmed.2009.08.026
Spread of epidemic disease on networks, Physical Review E, vol.38, issue.1, pp.1-11, 2002. ,
DOI : 10.1016/0277-9536(94)90302-6
Network analysis of cattle and pig movements in Sweden: Measures relevant for disease control and risk based surveillance, Preventive Veterinary Medicine, vol.99, issue.2-4, pp.2-4, 2011. ,
DOI : 10.1016/j.prevetmed.2010.12.009
Epidemic processes in complex networks, Reviews of Modern Physics, vol.5550, issue.3, pp.925-979, 2015. ,
DOI : 10.1016/j.physleta.2007.01.094
URL : http://arxiv.org/abs/1408.2701
Eight challenges for network epidemic models, Epidemics, vol.10, pp.58-62, 2015. ,
DOI : 10.1016/j.epidem.2014.07.003
URL : http://doi.org/10.1016/j.epidem.2014.07.003
Vulnerability of Animal Trade Networks to The Spread of Infectious Diseases: A Methodological Approach Applied to Evaluation and Emergency Control Strategies in Cattle, France, 2005, Transboundary and Emerging Diseases, vol.5, issue.2, pp.110-120, 2005. ,
DOI : 10.1017/CBO9780511815478
Evaluation of farm-level parameters derived from animal movements for use in risk-based surveillance programmes of cattle in Switzerland, BMC Veterinary Research, vol.45, issue.November 2011, p.149, 2015. ,
DOI : 10.1111/j.1439-0442.1998.tb00847.x
Representing the UK's cattle herd as static and dynamic networks, Proceedings of the Royal Society B: Biological Sciences, vol.69, issue.10, pp.469-76, 1656. ,
DOI : 10.1103/PhysRevE.69.065102
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592553
Identifying roles in an IP network with temporal and structural density, 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp.801-806, 2014. ,
DOI : 10.1109/INFCOMW.2014.6849333
URL : https://hal.archives-ouvertes.fr/hal-01009382
Investigating the potential spread of infectious diseases of sheep via agricultural shows in Great Britain, Epidemiology and Infection, vol.134, issue.01, pp.31-40, 2006. ,
DOI : 10.1017/S095026880500467X