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Related Experiment Video

Updated: Feb 1, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Evolving network structure of academic institutions.

Shufan Wang¹, Mariam Avagyan¹, Per Sebastian Skardal¹

¹Department of Mathematics, Trinity College, 300 Summit St., 06106, West Hartford, Connecticut, USA.

Applied Network Science

|December 12, 2018

Summary

This summary is machine-generated.

This study uses network science to map academic structures in universities. By analyzing student majors, we reveal departmental connections and inform institutional policy for better efficiency.

Keywords:

Centrality Community detection Multiplex network Temporal network

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Area of Science:

Network Science
Higher Education Studies
Sociology

Background:

Colleges and universities possess complex structures influencing administrative policy and interdepartmental curriculum effects.
These institutional structures are often not well understood, despite their significant impact.

Purpose of the Study:

To analyze the academic structure of Trinity College using network science.
To develop a generalizable framework for understanding university structures to inform policy.

Main Methods:

Constructed a temporal multiplex network based on major and minor patterns of graduating students.
Applied network science techniques to identify evolving community structures and quantify interdisciplinary centrality.

Main Results:

Identified dynamic community structures within the academic network.
Quantified the interdisciplinary centrality of each academic department at Trinity College.

Conclusions:

The network science framework provides practical insights into institutional structures.
This approach can be adopted by other universities to enhance academic and administrative policy informed by structural understanding.