Infectious diseases of humans: dynamics and control, 1991. ,
Networks: An Introduction, 2010. ,
DOI : 10.1093/acprof:oso/9780199206650.001.0001
Scale-Free Networks: Complex Webs in Nature and Technology, 2007. ,
DOI : 10.1093/acprof:oso/9780199211517.001.0001
Epidemic Spreading in Scale-Free Networks, Physical Review Letters, vol.62, issue.14, p.3200, 2001. ,
DOI : 10.1103/PhysRevE.62.7474
URL : https://repository.library.northeastern.edu/files/neu:331357/fulltext.pdf
Epidemic processes in complex networks, Reviews of Modern Physics, vol.5550, issue.3, p.925, 2015. ,
DOI : 10.1016/j.physleta.2007.01.094
Small but slow world: How network topology and burstiness slow down spreading, Physical Review E, vol.83, issue.2, p.25102, 2011. ,
DOI : 10.1126/science.1174562
URL : http://arxiv.org/pdf/1006.2125
An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices, BMC Infectious Diseases, vol.5, issue.1, p.185, 2013. ,
DOI : 10.1371/journal.pcbi.1001109
URL : https://hal.archives-ouvertes.fr/hal-00817269
Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks, PLoS ONE, vol.41, issue.7, p.11596, 2010. ,
DOI : 10.1371/journal.pone.0011596.s007
URL : https://hal.archives-ouvertes.fr/hal-00503275
Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases, Clinical Microbiology and Infection, vol.20, issue.1, p.10, 2014. ,
DOI : 10.1111/1469-0691.12472
URL : https://hal.archives-ouvertes.fr/hal-00921838
Immunization of complex networks, Physical Review E, vol.292, issue.3, p.36104, 2002. ,
DOI : 10.1126/science.1061076
Efficient Immunization Strategies for Computer Networks and Populations, Physical Review Letters, vol.25, issue.24, p.247901, 2003. ,
DOI : 10.1038/35075138
URL : http://arxiv.org/pdf/cond-mat/0207387
Modelling the influence of human behaviour on the spread of infectious diseases: a review, Journal of The Royal Society Interface, vol.4, issue.50, p.1247, 2010. ,
DOI : 10.1007/s10867-008-9060-9
Towards a Characterization of Behavior-Disease Models, PLoS ONE, vol.1, issue.8, p.23084, 2011. ,
DOI : 10.1371/journal.pone.0023084.t001
Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks, Physical Review Letters, vol.111, issue.12, p.128701, 2013. ,
DOI : 10.1103/PhysRevLett.107.068701
Epidemic spreading and risk perception in multiplex networks: A self-organized percolation method, Physical Review E, vol.90, issue.5, p.52817, 2014. ,
DOI : 10.1103/PhysRevLett.53.311
Risk perception in epidemic modeling, Physical Review E, vol.72, issue.6, p.61904, 2007. ,
DOI : 10.1103/PhysRevE.71.046108
URL : http://arxiv.org/pdf/0705.1974
Stochastic analysis of epidemics on adaptive time varying networks, Physical Review E, vol.87, issue.6, p.62810, 2013. ,
DOI : 10.1046/j.1365-2656.2003.00675.x
Effect of individual behavior on epidemic spreading in activity-driven networks, Physical Review E, vol.90, issue.4, p.42801, 2014. ,
DOI : 10.1080/00107510500052444
Topological properties of a time-integrated activity-driven network, Physical Review E, vol.87, issue.6, p.62807, 2013. ,
DOI : 10.1103/PhysRevLett.89.208701
Time varying networks and the weakness of strong ties, Scientific Reports, vol.86, issue.1, p.4001, 2014. ,
DOI : 10.1103/PhysRevLett.86.3200
URL : https://hal.archives-ouvertes.fr/hal-00960361
Nature of the Epidemic Threshold for the Susceptible-Infected-Susceptible Dynamics in Networks, Physical Review Letters, vol.111, issue.6, p.68701, 2013. ,
DOI : 10.1103/PhysRevE.71.027103
Lifespan method as a tool to study criticality in absorbing-state phase transitions, Physical Review E, vol.91, issue.5, p.52117, 2015. ,
DOI : 10.1007/BF01314934
On the numerical study of percolation and epidemic critical properties in networks, The European Physical Journal B, vol.71, issue.11, p.243, 2016. ,
DOI : 10.1103/PhysRevE.71.027103
Contrasting effects of strong ties on SIR and SIS processes in temporal networks, The European Physical Journal B, vol.111, issue.12, p.326, 2015. ,
DOI : 10.1103/PhysRevLett.111.068701
Finite Size Scaling, Current Physics- Sources and Comments, 1988. ,
Controlling Contagion Processes in Activity Driven Networks, Physical Review Letters, vol.112, issue.11, p.118702, 2014. ,
DOI : 10.1088/1367-2630/14/9/093003
URL : https://hal.archives-ouvertes.fr/hal-01100409
Temporal percolation in activity-driven networks, Physical Review E, vol.89, issue.3, p.32807, 2014. ,
DOI : 10.1038/srep04001
URL : http://upcommons.upc.edu/bitstream/2117/26924/1/Temporal%20percolation%20in%20activity.pdf