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Updated: Jun 16, 2026
05:55
Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Mapping change in large networks
Martin Rosvall1, Carl T Bergstrom
1Department of Biology, University of Washington, Seattle, Washington, United States of America. rosvall@u.washington.edu
Plos One
|January 30, 2010
Summary
This study introduces significance clustering with bootstrap resampling to differentiate real network trends from noise. It reveals how neuroscience evolved into a distinct discipline by analyzing journal citation patterns.
Area of Science:
- Network science
- Bibliometrics
- Scientific collaboration
Background:
- Interaction patterns across various domains (biology, technology, economy, science) are dynamic.
- Network analysis and clustering are crucial for understanding large-scale structures.
- Distinguishing genuine trends from noise is essential for studying network evolution, but current methods are insufficient.
Purpose of the Study:
- To develop a method for assigning statistical significance to network partitions.
- To enable the identification of meaningful structural changes in networks.
- To connect network structure changes with functional implications.
Main Methods:
- Bootstrap resampling combined with significance clustering to identify statistically significant network partitions.
- Alluvial diagrams to visualize and summarize significant structural changes.
- Analysis of citation patterns among approximately 7000 scientific journals over a decade.
Main Results:
- The proposed method effectively distinguishes significant network changes from random fluctuations.
- Alluvial diagrams provide a clear visualization of evolving network structures.
- Analysis of scientific journal citations demonstrates the transformation of neuroscience from an interdisciplinary field to a standalone discipline.
Conclusions:
- Significance clustering with bootstrap resampling offers a robust approach to studying dynamic networks.
- This methodology allows for the objective mapping of scientific field evolution.
- The findings illustrate a significant shift in the structure and maturity of the neuroscience discipline over the past decade.
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