Community detection on elite mathematicians’ collaboration network
| Nov 19, 2024
Article Category: Research Papers
Published Online: Nov 19, 2024
Page range: 1 - 23
Received: Jul 25, 2023
Accepted: Nov 22, 2023
DOI: https://doi.org/10.2478/jdis-2024-0026
Keywords
© 2024 Yurui Huang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Purpose
This study focuses on understanding the collaboration relationships among mathematicians, particularly those esteemed as elites, to reveal the structures of their communities and evaluate their impact on the field of mathematics.
Design/methodology/approach
Two community detection algorithms, namely Greedy Modularity Maximization and Infomap, are utilized to examine collaboration patterns among mathematicians. We conduct a comparative analysis of mathematicians’ centrality, emphasizing the influence of award-winning individuals in connecting network roles such as Betweenness, Closeness, and Harmonic centrality. Additionally, we investigate the distribution of elite mathematicians across communities and their relationships within different mathematical sub-fields.
Findings
The study identifies the substantial influence exerted by award-winning mathematicians in connecting network roles. The elite distribution across the network is uneven, with a concentration within specific communities rather than being evenly dispersed. Secondly, the research identifies a positive correlation between distinct mathematical sub-fields and the communities, indicating collaborative tendencies among scientists engaged in related domains. Lastly, the study suggests that reduced research diversity within a community might lead to a higher concentration of elite scientists within that specific community.
Research limitations
The study’s limitations include its narrow focus on mathematicians, which may limit the applicability of the findings to broader scientific fields. Issues with manually collected data affect the reliability of conclusions about collaborative networks.
Practical implications
This study offers valuable insights into how elite mathematicians collaborate and how knowledge is disseminated within mathematical circles. Understanding these collaborative behaviors could aid in fostering better collaboration strategies among mathematicians and institutions, potentially enhancing scientific progress in mathematics.
Originality/value
The study adds value to understanding collaborative dynamics within the realm of mathematics, offering a unique angle for further exploration and research.