Individual Presentation or Panel Title
A Network Analysis of the Hollins University Basketball Team
Abstract
Using ideas from network theory and the article “Basketball Teams as Strategic Networks,” we analyze several games of the 2013-14 Hollins University women’s basketball team. We will determine whether the team’s network is significantly different when comparing wins and losses. Four games, including two wins (were against Southern Virginia University and Washington and Lee University) and two losses (against Shenandoah University and Lynchburg College), are considered. In this paper, we create two weighted graphs, defining players as nodes and ball movement as the directed edges. We also compute several metrics (including degree centrality, team entropy, uphill/downhill flux, flow centrality, and clustering) to compare our weighted graphs with quantitative measures. The goal of this project is to use network theory to analyze and compare the Hollins basketball team’s strategic play during wins and losses. We will capture the networks for the two outcomes using the weighted graphs and metrics mentioned above and use the results to determine whether or not a significant difference exists between the two.
Location
Glass Dining Room
Start Date
3-5-2014 3:30 PM
End Date
3-5-2014 4:20 PM
A Network Analysis of the Hollins University Basketball Team
Glass Dining Room
Using ideas from network theory and the article “Basketball Teams as Strategic Networks,” we analyze several games of the 2013-14 Hollins University women’s basketball team. We will determine whether the team’s network is significantly different when comparing wins and losses. Four games, including two wins (were against Southern Virginia University and Washington and Lee University) and two losses (against Shenandoah University and Lynchburg College), are considered. In this paper, we create two weighted graphs, defining players as nodes and ball movement as the directed edges. We also compute several metrics (including degree centrality, team entropy, uphill/downhill flux, flow centrality, and clustering) to compare our weighted graphs with quantitative measures. The goal of this project is to use network theory to analyze and compare the Hollins basketball team’s strategic play during wins and losses. We will capture the networks for the two outcomes using the weighted graphs and metrics mentioned above and use the results to determine whether or not a significant difference exists between the two.