LEADER 02067nam0 2200469 i 450 001 VAN00124124 005 20240806100815.494 017 70$2N$a9789811052873 100 $a20191008d2017 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aTemporal Network Epidemiology$fNaoki Masuda, Petter Holme editors 210 $aSingapore$cSpringer$d2017 215 $avi, 342 p.$cill.$d24 cm 410 1$1001VAN00124125$12001 $aTheoretical Biology$1210 $aBerlin [etc.]$cSpringer$d2017- 500 1$3VAN00236033$aTemporal Network Epidemiology$91562527 606 $a00B15$xCollections of articles of miscellaneous specific interest [MSC 2020]$3VANC023985$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a92B20$xNeural networks for/in biological studies, artificial life and related topics [MSC 2020]$3VANC021414$2MF 606 $a92C05$xBiophysics [MSC 2020]$3VANC020842$2MF 606 $a92D30$xEpidemiology [MSC 2020]$3VANC028389$2MF 610 $aAdaptive networks$9KW:K 610 $aBig Data$9KW:K 610 $aCompartmental models$9KW:K 610 $aEpidemic processes$9KW:K 610 $aInfectious disease$9KW:K 610 $aNetwork epidemiology$9KW:K 610 $aOutbreak$9KW:K 610 $aTemporal networks$9KW:K 620 $aSG$dSingapore$3VANL000061 702 1$aHolme$bPetter$3VANV095589 702 1$aMasuda$bNaoki$3VANV095588 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240906$gRICA 856 4 $uhttp://doi.org/10.1007/978-981-10-5287-3$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00124124 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0932 $e08eMF932 20191008 996 $aTemporal Network Epidemiology$91562527 997 $aUNICAMPANIA