| 書目名稱 | Data and Doctor Doom |
| 副標(biāo)題 | An Empirical Approac |
| 編輯 | Mark Hibbett |
| 視頻video | http://file.papertrans.cn/264/263244/263244.mp4 |
| 概述 | Shows how a data-led approach can produce rich analyses of characters.Uses the Marvel Comics character Doctor Doom as its main case study.Analyses the differences between the American and British char |
| 叢書名稱 | Palgrave Studies in Comics and Graphic Novels |
| 圖書封面 |  |
| 描述 | .This book defines a straightforward way to analyse fictional characters through data. It shows how a data-led approach can produce rich analyses of characters, their surrounding storyworlds, and their authors across time and different types of media. It uses the Marvel Comics’ character, Doctor Doom as its main case study, and demonstrates the advantages of this approach by comparing the results to those taken from a survey of fan attitudes. It also uses the methodology to analyse the differences between the American and British characters who share the name "Dennis The Menace". Finally, it offers a range of further uses for the tool. All datasets and tools are made available to download, so that other researchers can use the methodology and compare their own results to those generated in the book.. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Data; Fictional; Marvel; Comics; Attitudes; Characters |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-45173-7 |
| isbn_softcover | 978-3-031-45175-1 |
| isbn_ebook | 978-3-031-45173-7Series ISSN 2634-6370 Series E-ISSN 2634-6389 |
| issn_series | 2634-6370 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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