Moral Flocking: How Shared Moral Foundations and Psycho-Social Correlates Shape the Social Network among First-Semester University Students

Network science offers powerful tools to map social structures, yet we know little about how shared moral foundations shape social network architecture in offline contexts. This study employs the German adaptation of the MFQ-2 to investigate foundation-specific moral homophily within a nascent cohort of first-semester psychology students at a German university. We will test four pre-registered hypotheses using a full-roster participant-as-node approach where edges represent self-reported social ties within the entire cohort. We will examine whether moral similarity predicts network structure via Quadratic Assignment Procedure correlation tests, test foundation-specific homophily effects using Exponential Random Graph Models that control for endogenous network processes and investigate how degree centrality predicts moral typicality relative to the cohort average. Additionally, we will test whether ethical positions predict structural positioning, specifically whether moral relativism predicts betweenness centrality and moral idealism predicts local clustering. Beyond moral foundations, we assess psycho-social correlates including political ideology, religiosity, need to belong, personality traits, and ethical positions to disentangle moral homophily from ideological confounds and identify why individuals vary in their propensity to form morally homophilous ties. This comprehensive network analysis reveals how moral convictions interact with social tie formation and individual positioning to foster social cohesion and division.

Publication Details

Journal
Psychology Archives
Published
2025-12-11
DOI
https://doi.org/10.23668/psycharchives.21506
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moral Flocking: How Shared Moral Foundations and Psycho-Social Correlates Shape the Social Network among First-Semester University Students

Psychology Archives
Mental Health Research Topics
article

Moral Flocking: How Shared Moral Foundations and Psycho-Social Correlates Shape the Social Network among First-Semester University Students

article en

Abstract

Network science offers powerful tools to map social structures, yet we know little about how shared moral foundations shape social network architecture in offline contexts. This study employs the German adaptation of the MFQ-2 to investigate foundation-specific moral homophily within a nascent cohort of first-semester psychology students at a German university. We will test four pre-registered hypotheses using a full-roster participant-as-node approach where edges represent self-reported social ties within the entire cohort. We will examine whether moral similarity predicts network structure via Quadratic Assignment Procedure correlation tests, test foundation-specific homophily effects using Exponential Random Graph Models that control for endogenous network processes and investigate how degree centrality predicts moral typicality relative to the cohort average. Additionally, we will test whether ethical positions predict structural positioning, specifically whether moral relativism predicts betweenness centrality and moral idealism predicts local clustering. Beyond moral foundations, we assess psycho-social correlates including political ideology, religiosity, need to belong, personality traits, and ethical positions to disentangle moral homophily from ideological confounds and identify why individuals vary in their propensity to form morally homophilous ties. This comprehensive network analysis reveals how moral convictions interact with social tie formation and individual positioning to foster social cohesion and division.

Psychology Archives
Reduced inequalities
Openalex Percentile: Top 33%
Mental Health Research Topics
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.