{"title":"Analysis of COVID-19 Mitigation Measures on a Small Liberal Arts College Network","authors":"Robin M. Givens","doi":"10.1109/ASONAM49781.2020.9381382","DOIUrl":null,"url":null,"abstract":"Small, liberal arts colleges are known to have close campus communities with strong relationships between professors and students. In this paper we consider the person-to-group and related person-to-person network at one of these institutions using student and faculty data from Fall 2019 courses, athletics, ensembles, housing, and student organizations. This data is used as a baseline to model the Fall 2020 semester with the college’s COVID-19 mitigation strategies: cancel or virtualize some groups, split the semester into two independent sessions, and separate larger courses into hybrid meetings. Network analysis shows that students and faculty had at most 4 degrees of separation in Fall 2019, student organizations can have a large impact on campus connectedness, all semester modifications implemented in Fall 2020 can reduce connectedness, and the largest reduction was seen by splitting the semester into two sessions.","PeriodicalId":196317,"journal":{"name":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASONAM49781.2020.9381382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Small, liberal arts colleges are known to have close campus communities with strong relationships between professors and students. In this paper we consider the person-to-group and related person-to-person network at one of these institutions using student and faculty data from Fall 2019 courses, athletics, ensembles, housing, and student organizations. This data is used as a baseline to model the Fall 2020 semester with the college’s COVID-19 mitigation strategies: cancel or virtualize some groups, split the semester into two independent sessions, and separate larger courses into hybrid meetings. Network analysis shows that students and faculty had at most 4 degrees of separation in Fall 2019, student organizations can have a large impact on campus connectedness, all semester modifications implemented in Fall 2020 can reduce connectedness, and the largest reduction was seen by splitting the semester into two sessions.