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Romantic Resilience: Fractal Conflict Dynamics and Network Flexibility Predict Dating Satisfaction and Commitment
1Chapman University, Orange CA.
Conflict dynamics in romantic relationships exhibit fractal patterns, with better fits predicting relationship satisfaction and commitment. This fractal structure may enhance relationship resilience.
Area of Science:
- Psychology
- Relationship Science
- Complexity Science
Background:
- Interpersonal dynamics exhibit fractal properties.
- Conflict acts as a control parameter influencing fractal complexity in relationships.
Purpose of the Study:
- Examine the fractal structure of conflict dynamics over time.
- Investigate the role of this fractal structure in romantic relationship resilience.
Main Methods:
- Employed an experience sampling methodology.
- Assessed conflict, satisfaction, and commitment thrice daily for 30 days in undergraduate dating relationships.
Main Results:
- Conflict ratings over time followed an inverse power-law (IPL) distribution.
- Better IPL fits correlated with higher relationship satisfaction and commitment.
- Network linkages between conflict and relationship outcomes showed mixed support for predicting IPL fits.
Conclusions:
- Conflict dynamics in relationships display fractal characteristics.
- The degree of fractal fit in conflict patterns is linked to relationship quality and resilience.
- Further research is needed to clarify the buffering effects of fractal fit on conflict.
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