LEADER 01563nam0 2200361 i 450 
001 SUN0124124
005 20191010095922.768
010   $d0.00
017 70$2N$a978-981-10-5287-3
100   $a20191008d2017       |0engc50      ba
101   $aeng
102   $aSG
105   $a||||    |||||
200 1 $a*Temporal Network Epidemiology$fNaoki Masuda, Petter Holme editors
205   $aSingapore : Springer, 2017
210   $avi$d342 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0124125$12001 $a*Theoretical Biology$1210  $aBerlin$cSpringer.
606   $a92-XX$xBiology and other natural sciences [MSC 2020]$2MF$3SUNC020839
606   $a92C05$xBiophysics [MSC 2020]$2MF$3SUNC020842
606   $a92B20$xNeural networks for/in biological studies, artificial life and related topics [MSC 2020]$2MF$3SUNC021414
606   $a00B15$xCollections of articles of miscellaneous specific interest [MSC 2020]$2MF$3SUNC023985
606   $a92D30$xEpidemiology [MSC 2020]$2MF$3SUNC028389
620   $aSG$dSingapore$3SUNL000061
702  1$aMasuda$b, Naoki$3SUNV095588
702  1$aHolme$b, Petter$3SUNV095589
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20210503$gRICA
856 4 $uhttp://doi.org/10.1007/978-981-10-5287-3
912   $aSUN0124124
950   $aUFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS      e-book                  0932        $e08eMF932               20191008            
996   $aTemporal Network Epidemiology$91562527
997   $aUNICAMPANIA