Network Analysis of Couples’ Communication Patterns in Predicting Emotional Divorce
Keywords:
Emotional divorce, communication patterns, network analysis, couple relationships, emotional intimacyAbstract
This study aimed to model couples’ communication patterns using network analysis and examine their predictive role in emotional divorce among couples in Tehran This quantitative correlational study was conducted on 380 married couples selected through multistage cluster sampling from Tehran. Data were collected using standardized questionnaires assessing couples’ communication patterns, emotional intimacy, emotional support, and emotional divorce. Network analysis and network-based regression models were applied to estimate centrality indices and model fit. Results indicated that the communication network significantly predicted emotional divorce. Emotional intimacy, emotional support, and constructive dialogue showed significant negative effects on emotional divorce, whereas emotional distance, demand–withdraw pattern, hostile communication, and communication avoidance exhibited significant positive effects. The network model explained over 60% of the variance in emotional divorce, demonstrating strong predictive accuracy and model fit. Network analysis provides a robust framework for capturing the complex dynamics of couples’ relationships and offers substantial potential for early detection and prevention of emotional divorce.
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