Aus unseren Neuerwerbungen – Digital Humanities 2022.7

The Dig­i­tal Human­i­ties Course­book: An Intro­duc­tion to Dig­i­tal Meth­ods for Research and Schol­ar­ship
The Dig­i­tal Human­i­ties Course­book pro­vides crit­i­cal frame­works for the appli­ca­tion of dig­i­tal human­i­ties tools and plat­forms, which have become an inte­gral part of work across a wide range of dis­ci­plines.
Writ­ten by an expert with twen­ty years of expe­ri­ence in this field, the book is focused on the prin­ci­ples and fun­da­men­tal con­cepts for appli­ca­tion, rather than on spe­cif­ic tools or plat­forms. Each chap­ter con­tains exam­ples of projects, tools, or plat­forms that demon­strate these prin­ci­ples in action. The book is struc­tured to com­ple­ment cours­es on dig­i­tal human­i­ties and pro­vides a series of mod­ules, each of which is orga­nized around a set of con­cerns and top­ics, thought exper­i­ments and ques­tions, as well as spe­cif­ic dis­cus­sions of the ways in which tools and plat­forms work. The book cov­ers a wide range of top­ics and clear­ly details how to inte­grate the acqui­si­tion of exper­tise in data, meta­da­ta, clas­si­fi­ca­tion, inter­face, visu­al­iza­tion, net­work analy­sis, top­ic mod­el­ing, data min­ing, map­ping, and web pre­sen­ta­tion with issues in intel­lec­tu­al prop­er­ty, sus­tain­abil­i­ty, pri­va­cy, and the eth­i­cal use of infor­ma­tion.
Writ­ten in an acces­si­ble and engag­ing man­ner, The Dig­i­tal Human­i­ties Course­book will be a use­ful guide for any­one teach­ing or study­ing a course in the areas of dig­i­tal human­i­ties, library and infor­ma­tion sci­ence, Eng­lish, or com­put­er sci­ence. The book will pro­vide a frame­work for direct engage­ment with dig­i­tal human­i­ties and, as such, should be of inter­est to oth­ers work­ing across the human­i­ties as well.
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Ana­lyz­ing social net­works using R
This approach­able book intro­duces net­work research in R, walk­ing you through every step of doing social net­work analy­sis. Draw­ing togeth­er research design, data col­lec­tion and data analy­sis, it explains the core con­cepts of net­work analy­sis in a non-tech­ni­cal way.
The book bal­ances an easy to fol­low expla­na­tion of the the­o­ret­i­cal and sta­tis­ti­cal foun­da­tions under­pin­ning net­work analy­sis with prac­ti­cal guid­ance on key steps like data man­age­ment, prepa­ra­tion and visu­al­i­sa­tion. With clar­i­ty and expert insight, it:
— Dis­cuss­es mea­sures and tech­niques for ana­lyz­ing social net­work data, includ­ing dig­i­tal media
— Explains a range of sta­tis­ti­cal mod­els includ­ing QAP and ERGM, giv­ing you the tools to approach dif­fer­ent types of net­works
— Offers dig­i­tal resources like prac­tice datasets and worked exam­ples that help you get to grips with R soft­ware.
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Weit­ere Titel zu den Dig­i­tal Human­i­ties find­en Sie z.B. über eine Suche in dis­co.