Analysis of COVID-19 Mitigation Measures on a Small Liberal Arts College Network
Givens R.M.
2020
Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020
1
10.1109/ASONAM49781.2020.9381382
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. © 2020 IEEE.
coronavirus; COVID-19; epidemics; higher education; social network analysis
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