Article
Author: Mar Jane Abdurrahman Email Mar Jane Abdurrahman.
The strategic transition toward the metaverse represents a major organizational and technological transformation for digital platform firms. This study examines how such a transformation is reflected in the structural evolution of corporate communication networks. Using quarterly earnings call transcripts of Meta from Q3_2018 to Q3_2025, we construct temporal analyst–executive interaction graphs and apply dynamic social network analysis combined with the Louvain community detection algorithm. The findings reveal persistent but fluctuating community clustering, a gradual increase in network density, and alternating phases of structural reorganization and consolidation. Centrality analysis demonstrates a clear transition from CFO-centered communication dominance to increasing CEO centralization in later periods. The Community Stability Index further indicates that early transformation phases involve structural adjustments, followed by greater persistence as strategic direction matures. These results provide quantitative evidence that large-scale metaverse transformation is accompanied by measurable restructuring in governance communication networks. The study contributes to understanding how immersive digital transformation reshapes organizational structures, executive influence distribution, and platform governance dynamics.
Keywords: Metaverse Transformation, Dynamic Social Network Analysis, Lovain Community Detection, Corporate Communication Networks, Executive Centralization
How to Cite: Abdurrahman, M. (2026) “Dynamic Social Network Analysis of Metaverse Communities Using Temporal Graph Modeling and Louvain Community Detection Algorithm ”, Journal of Digital Society. 2(1). doi: https://doi.org//JDS.149
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