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Analysis of CQVID-19 Mitigation Measures on a Small Liberal Arts College Network
2020 Ieee/Acm International Conference on Advances in Social Networks Analysis and Mining ; : 784-791, 2020.
Article in English | Web of Science | ID: covidwho-1364902
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.

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Acm International Conference on Advances in Social Networks Analysis and Mining Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: Acm International Conference on Advances in Social Networks Analysis and Mining Year: 2020 Document Type: Article