Correlation Between Student Collaboration Network Centrality and Academic Performance
David L. Vargas, Ariel M. Bridgeman, David R. Schmidt, Patrick B., Kohl, Bethany R. Wilcox, and Lincoln D. Carr

TL;DR
This study analyzes how students' positions in collaboration networks relate to their academic performance across multiple physics courses, revealing consistent correlations between certain centrality measures and homework scores.
Contribution
It identifies specific centrality measures that consistently correlate with student performance across different courses and collaboration types, highlighting stable collaboration strategies.
Findings
Certain centrality measures correlate strongly with homework scores.
Students with higher centrality tend to achieve better grades.
Collaboration strategies remain stable across different assignments and courses.
Abstract
We compute nodal centrality measures on the collaboration networks of students enrolled in three upper-division physics courses, usually taken sequentially, at the Colorado School of Mines. These are complex networks in which links between students indicate assistance with homework. The courses included in the study are intermediate Classical Mechanics, introductory Quantum Mechanics, and intermediate Electromagnetism. By correlating these nodal centrality measures with students' scores on homework and exams, we find four centrality measures that correlate significantly with students' homework scores in all three courses: in-strength, out-strength, closeness centrality, and harmonic centrality. These correlations suggest that students who not only collaborate often, but also collaborate significantly with many different people tend to achieve higher grades. Centrality measures between…
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