{"title":"Female representation across mythologies","authors":"M. Janickyj, P. MacCarron, J. Yose, R. Kenna","doi":"arxiv-2409.11482","DOIUrl":null,"url":null,"abstract":"Social groups have been studied throughout history to understand how\ndifferent configurations impact those within them. Along with this came the\ninterest in investigating social groups of both fictional and mythological\nworks. Over the last decade these social groups have been studied through the\nlens of network science allowing for a new level of comparison between these\nstories. We use this approach to focus on the attributes of the characters\nwithin these networks, specifically looking at their gender. With this we\nreview how the female populations within various narratives and to some extent\nthe societies they are based in are portrayed. Through this we find that\nalthough there is not a trend of all narratives of the same origin having\nsimilar levels of representation some are noticeably better than others. We\nalso observe which narratives overall prioritise important female characters\nand which do not.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":"63 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Social groups have been studied throughout history to understand how
different configurations impact those within them. Along with this came the
interest in investigating social groups of both fictional and mythological
works. Over the last decade these social groups have been studied through the
lens of network science allowing for a new level of comparison between these
stories. We use this approach to focus on the attributes of the characters
within these networks, specifically looking at their gender. With this we
review how the female populations within various narratives and to some extent
the societies they are based in are portrayed. Through this we find that
although there is not a trend of all narratives of the same origin having
similar levels of representation some are noticeably better than others. We
also observe which narratives overall prioritise important female characters
and which do not.