Logo image
The effect of disruptive events on spatial and social interactions: An assessment of structural changes in pre-and post-COVID-19 pandemic networks
Preprint   Open access

The effect of disruptive events on spatial and social interactions: An assessment of structural changes in pre-and post-COVID-19 pandemic networks

Caglar Koylu and Maryam Torkashvand
arXiv.org
Cornell University
11/02/2023
DOI: 10.48550/arxiv.2311.01559
url
https://doi.org/10.48550/arxiv.2311.01559View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

Disruptive events significantly alter spatial and social interactions among people and places. To examine the structural changes in spatial and social interaction networks in pre- and post-periods of the COVID-19 pandemic, we employ the Louvain method to algorithmically detect regions (communities) within the county-to-county networks of the SafeGraph mobility and Facebook social connectedness. We then utilize a range of partition similarity metrics, including adjusted Rand, z-Rand, Normalized Mutual Information (NMI), and Jaccard indices, to quantitatively measure the similarity of regions between the pre- and post-periods partitions of each network. Our findings reveal that in the post-pandemic period, spatial interactions led to the formation of localized geographic communities or regions characterized by higher modular activity within each region. In contrast, online social interactions shifted towards longer distance connections, resulting in the emergence of larger regions marked by strong friendship ties that often encompassed multiple states. By understanding these changes, we contribute to a better comprehension of the pandemic's impact on our interconnected physical-virtual world, providing valuable insights for future research and informing strategies to adapt to the evolving dynamics of human interactions.
Computer Science - Social and Information Networks

Details

Metrics

12 Record Views
Logo image