LEADER 02071nam 2200361 450 001 9910688475103321 005 20230628201851.0 035 $a(CKB)5400000000040404 035 $a(NjHacI)995400000000040404 035 $a(EXLCZ)995400000000040404 100 $a20230628d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aViral Networks $eConnecting Digital Humanities and Medical History /$fThomas E. Ewing, Katherine Randall 210 1$aBlacksburg, VA :$cVirginia Tech Publishing,$d2018. 215 $a1 online resource (xv, 266 pages) $cillustrations 311 $a1-949373-01-0 330 $aThis volume of original essays explores the power of network thinking and analysis for humanities research. Contributing authors are all scholars whose research focuses on a medical history topic--from the Black Death in fourteenth-century Provence to psychiatric hospitals in twentieth-century Alabama. The chapters take readers through a variety of situations in which scholars must determine if network analysis is right for their research; and, if the answer is yes, what the possibilities are for implementation. Along the way, readers will find practical tips on identifying an appropriate network to analyze, finding the best way to apply network analysis, and choosing the right tools for data visualization. All the chapters in this volume grew out of the 2018 Viral Networks workshop, hosted by the History of Medicine Division of the National Library of Medicine (NIH), funded by the Office of Digital Humanities of the National Endowment for the Humanities, and organized by Virginia Tech. 517 $aViral Networks 606 $aDigital humanities 615 0$aDigital humanities. 676 $a001.30285 700 $aEwing$b Thomas E.$0647373 702 $aRandall$b Katherine 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688475103321 996 $aViral Networks$93395313 997 $aUNINA