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The multilayer semantic network structure of community tensions
Casey Randazzo1, Sarah Shugars1, Rachel M Acosta1
1Department of Communication, School of Communication and Information, Rutgers University, New Brunswick, NJ, United States.
Frontiers in Research Metrics and Analytics
|December 17, 2024
Summary
This study uses multilayer semantic network analysis to understand community tensions after Hurricane Ida. Findings reveal interconnected issues like housing equity and environmental sustainability, challenging top-down disaster responses.
Area of Science:
- Social Sciences
- Communication Studies
- Environmental Studies
Background:
- Community discourse analysis is crucial for understanding complex societal issues.
- Semantic network analysis offers a method to map relationships between words and themes.
- Climate disasters often exacerbate existing social and economic inequities.
Purpose of the Study:
- To demonstrate multilayer analysis for semantic networks in community tension studies.
- To examine how climate disasters, like Hurricane Ida, intensify community issues.
- To identify key tensions and stakeholder positions in disaster-affected communities.
Main Methods:
- Utilized multilayer analysis of semantic networks.
- Analyzed eight months of online neighborhood discourse post-Hurricane Ida.
- Identified core tensions: environmental sustainability, overdevelopment, neighborhood identity, and economic vitality.
Main Results:
- Within-tension analysis revealed community struggles with complex dilemmas.
- Between-tension analysis highlighted the interconnectedness of environmental, economic, and social issues.
- The study identified stakeholders best positioned to address specific community problems.
Conclusions:
- Findings challenge traditional top-down disaster response models.
- Proposes a theoretically informed semantic network analysis method for community crises.
- Extends organizational communication theories on knotted tensions in wicked problems.
Keywords:
bipartite networkscomputational social sciencedisaster communicationmultilayer networksparadoxical tensionssemantic network analysissocial mediatext analysis and miningMore Related Videos
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