Unveiling the Kinematic Substructure of the Pleiades with Network Analysis

Abstract I apply network analysis to Gaia DR3 astrometry of the Pleiades to investigate the cluster’s internal kinematic structure. Using a Mahalanobis distance graph in proper-motion space, I identify the largest connected component of 1556 stars at a threshold of τ = 4.0. Louvain community detection then partitions this network into eight subgroups of sizes 741, 629, 75, 55, 39, 6, 6, and 5. The five highest-betweenness stars are highlighted; they play disproportionate structural roles in connectivity between distinct kinematic subgroups, rather than implying any specific dynamical mechanism. This graph-based approach provides a compact way to characterize substructure in nearby open clusters using Gaia astrometry.

Authors

Publication Details

Journal
Research Notes of the AAS
Published
2025-10-03
DOI
https://doi.org/10.3847/2515-5172/ae0c9b
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the Kinematic Substructure of the Pleiades with Network Analysis

Terence Maxwell
Research Notes of the AAS
Stellar, planetary, and galactic studies
article

Unveiling the Kinematic Substructure of the Pleiades with Network Analysis

Terence Maxwell
article en

Abstract

Abstract I apply network analysis to Gaia DR3 astrometry of the Pleiades to investigate the cluster’s internal kinematic structure. Using a Mahalanobis distance graph in proper-motion space, I identify the largest connected component of 1556 stars at a threshold of τ = 4.0. Louvain community detection then partitions this network into eight subgroups of sizes 741, 629, 75, 55, 39, 6, 6, and 5. The five highest-betweenness stars are highlighted; they play disproportionate structural roles in connectivity between distinct kinematic subgroups, rather than implying any specific dynamical mechanism. This graph-based approach provides a compact way to characterize substructure in nearby open clusters using Gaia astrometry.

Research Notes of the AASVol. 9(10)
Openalex Percentile: Top 81%
Stellar, planetary, and galactic studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.