Re: Help with interpretation: Betweenness centrality score and infection status
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I¡¯ve never even heard of elastic net regression. Perhaps others can help?
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Obviously, if it were an ordinary logistic regression, and if 1=present and 0=absent, then a negative coefficient would indicate that betweenness reduces the log odds of infection. Would have to know a lot more
about the context and data to guess at possible mechanisms. Eg., does infection spread within dense clusters and high betweenness nodes are often marginal to those clusters, reducing risk?
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steve
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Stephen P. Borgatti
Carol Martin Gatton Chair of Management
Gatton College of Business and Economics
University of Kentucky
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From: [email protected] < [email protected]> On Behalf Of
Shovon Chakma via groups.io
Sent: Wednesday, February 8, 2023 00:34
To: [email protected]
Subject: [ucinet] Help with interpretation: Betweenness centrality score and infection status
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The independent variable "betweenness centrality?score" in my data is ranged between 0 and 4.79 (on continuous scale) for undirected nodes, whereas the dependent/outcome variable
"infection status present/absent" in my data is binary?i.e., 0 or 1. I performed elastic net regression to estimate the effect size and found a negative?coefficient value. Could someone from the group help me how to interpret this result?
Thank you
Shovon
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