Graph Analytics for User Satisfaction Analysis in Service Systems: A Blue-Green Economy Perspective

DOI

10.2991/978-94-6463-758-8_229How to use a DOI?

Keywords

Satisfaction; Graph Theory; Degree Centrality; Blue-Green Economy; User Experience

Abstract

This study analyzes student satisfaction with a university system by employing graph theory to visualize and explore patterns in their responses. By constructing a graph where each student represents a node, and connections are formed based on the similarity of their satisfaction ratings, we reveal key insights into the system’s effectiveness. The analysis demonstrates a fully connected graph, indicating a high level of consistency across the student population in terms of their overall satisfaction. Degree centrality was used to identify students whose satisfaction levels most closely reflect the general consensus. The results highlight that the system is well-regarded across various dimensions, such as system quality, responsiveness, and flexibility. The most central students, representing the majority viewpoint, are indicative of the system’s successful design and performance. This comprehensive analysis concludes that the system meets the expectations of a diverse student body, providing a positive and cohesive user experience. Future improvements should aim to maintain this consistency while addressing subtle differences in satisfaction among smaller student subgroups.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Andi Sinra
PY  - 2025
DA  - 2025/07/30
TI  - Graph Analytics for User Satisfaction Analysis in Service Systems: A Blue-Green Economy Perspective
BT  - Proceedings of the 9th International Conference on Accounting, Management, and Economics 2024 (ICAME 2024)
PB  - Atlantis Press
SP  - 2828
EP  - 2837
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-758-8_229
DO  - 10.2991/978-94-6463-758-8_229
ID  - Sinra2025
ER  -