Key research themes
1. How can multilayer and multiplex network models improve the analysis of complex social and organizational structures historically?
This theme investigates methodological advancements that address the complexity of social systems by representing interactions as multilayer or multiplex networks. Such models capture different types of relations, temporal variation, and interconnected networks among actors, providing a more nuanced understanding of social and organizational dynamics over time and space. This is particularly important in historical contexts where multiple overlapping social, economic, and organizational ties co-exist.
2. What are effective strategies and methodological considerations for sampling, data integration, and visualization in historical network analysis?
Historical network research often faces challenges related to incomplete data, dispersed sources, and the need for integration across diverse datasets. This theme focuses on practical and computational methods for sampling network data, visualizing complex historical networks, and integrating heterogeneous data structures, including textual corpora and manuscript marginalia. These strategies enhance the reliability and interpretability of historical network findings.
3. How can network structural properties and centrality measures elucidate emergent behaviors and identify vital actors within historical complex networks?
This theme explores theoretical and computational advancements related to the role of network structure and centrality in determining spread dynamics, stability, and node influence. These approaches enable the identification of key actors whose positions significantly affect network behavior, providing actionable insights into leadership, transmission pathways, and systemic risks in historical social, political, and organizational networks.