Graph-Drawing Supported Identification of Influential Students at Schools (Poster Abstract)

Chimani, Markus; Kröger, Lea; Liedtke, Juliane; Mevert, Jonah; Shani, Maor; van Zalk, Maarten

doi:10.4230/LIPIcs.GD.2024.44

Abstract

We consider the real-world problem of identifying a set of "influential" students at schools for a workshop on tolerance. We report on a tool that visualizes the networks of social connections between students, identifies sets of influential students, and lets one explore and understand the solution space with a focus on usability for teachers who are untrained in network analysis.

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Markus Chimani, Lea Kröger, Juliane Liedtke, Jonah Mevert, Maor Shani, and Maarten van Zalk. Graph-Drawing Supported Identification of Influential Students at Schools (Poster Abstract). In 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 320, pp. 44:1-44:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.GD.2024.44

Author Details

Markus Chimani

Theoretical Computer Science, Osnabrück University, Germany

Lea Kröger

Theoretical Computer Science, Osnabrück University, Germany

Juliane Liedtke

VNB (Association of Education Initiatives in Lower Saxony), Hannover, Germany

Jonah Mevert

Theoretical Computer Science, Osnabrück University, Germany

Maor Shani

Developmental Psychology, Osnabrück University, Germany

Maarten van Zalk

Developmental Psychology, Osnabrück University, Germany

Funding

This research was supported by the Volkswagen Stiftung (AZ: 9B060) and the prevention council of the ministry of justice of Lower Saxony in Germany (4209 1.88/2022).

References

Markus Chimani, Carsten Gutwenger, Michael Jünger, Gunnar W. Klau, Karsten Klein, and Petra Mutzel. The open graph drawing framework (OGDF). In Roberto Tamassia, editor, Handbook of Graph Drawing and Visualization, chapter 17. CRC press, 2014. See URL: www.ogdf.net.
Robin Gomila, Hana Shepherd, and Elizabeth L. Paluck. Network insiders and observers: who can identify influential people? Behavioural Public Policy, 7(1):115-142, 2023.
Stefan Hachul and Michael Jünger. Drawing large graphs with a potential-field-based multilevel algorithm. In Janos Pach, editor, Proc. Graph Drawing 2004, volume 3383 of LNCS, pages 285-295. Springer-Verlag, 2004. URL: https://doi.org/10.1007/978-3-540-31843-9_29.
Elizabeth L. Paluck and Hana Shepherd. The salience of social referents: a field experiment on collective norms and harassment behavior in a school social network. Journal of Personality and Social Psychology, 103(6):899-915, 2012.
Maor Shani, Sophie de Lede, Stefanie Richters, Malin Kleuker, Wilma Middendorf, Juliane Liedtke, Sandrine Witolla, and Maarten van Zalk. A social network intervention to improve adolescents’ intergroup tolerance via norms of equality-based respect: the “together for tolerance” feasibility study. International Journal of Developmental Science, 17(1-3):93-110, 2023.
Maarten van Zalk, Oliver Christ, Eva Jaspers, Miranda J. Lubbers, Marcin Bukowski, Maor Shani, Laura F. Schäfer, Alejandro Ciordia, Anna Potoczek, Jan-Willem Simons, Nina Tegeler, Lucía Estevan-Reina, and Wilma Middendorf. Inclusivity norms to counter polarization in european societies (inclusivity), 2023. Project description. URL: https://osf.io/n7c4y/.

Graph-Drawing Supported Identification of Influential Students at Schools (Poster Abstract)

Authors Markus Chimani , Lea Kröger, Juliane Liedtke, Jonah Mevert, Maor Shani , Maarten van Zalk

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