Relationship between network structure and the maximum and minimum levels of homophily

When individuals form perceptions about social issues, they tend to be influenced by information from their social connections. Recent studies revealed that homophily is a significant factor contributing to perception biases. Clarifying how the maximum and minimum levels of homophily are influenced by network structure is crucial, yet this issue remains underexplored. This study examined the relationship between the maximum and minimum homophily levels and network structure using several real-world social networks and mathematical models generating small-world and scale-free networks. We found that network structure mainly affects the maximum level of homophily, and the small-world network shows the higher maximum homophily level than random and scale-free networks.

Authors

Institutions

Publication Details

Journal
Nonlinear Theory and Its Applications IEICE
Published
2025-01-01
DOI
https://doi.org/10.1587/nolta.16.573
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between network structure and the maximum and minimum levels of homophily

Kota Kato, Yutaka Shimada
Nonlinear Theory and Its Applications IEICE
Complex Network Analysis Techniques
article

Relationship between network structure and the maximum and minimum levels of homophily

Kota Kato, Yutaka Shimada
article en

Abstract

When individuals form perceptions about social issues, they tend to be influenced by information from their social connections. Recent studies revealed that homophily is a significant factor contributing to perception biases. Clarifying how the maximum and minimum levels of homophily are influenced by network structure is crucial, yet this issue remains underexplored. This study examined the relationship between the maximum and minimum homophily levels and network structure using several real-world social networks and mathematical models generating small-world and scale-free networks. We found that network structure mainly affects the maximum level of homophily, and the small-world network shows the higher maximum homophily level than random and scale-free networks.

Nonlinear Theory and Its Applications IEICEVol. 16(3)
Saitama University (JP)
Japan Society for the Promotion of Science, Research Institute of Electrical Communication, Tohoku University
Gender equality
Openalex Percentile: Top 88%
Complex Network Analysis Techniques
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.