A language economics perspective on language spread: Simulating Language Dynamics in a Social Network (1.0.0)
This model examines language dynamics within a social network using simulation techniques to represent the interplay of language adoption, social influence, economic incentives, and language policies. The agent-based model (ABM) focuses on interactions between agents endowed with specific linguistic attributes, who engage in communication based on predefined rules. A key feature of our model is the incorporation of network analysis, structuring agent relationships as a dynamic network and leveraging network metrics to capture the evolving inter-agent connections over time. This integrative approach provides nuanced insights into emergent behaviors and system dynamics, offering an analytical framework that extends beyond traditional modeling approaches. By combining agent-based modeling with network analysis, the model sheds light on the underlying mechanisms governing complex language systems and can be effectively paired with sociolinguistic observational data.
Release Notes
First version
Associated Publications
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/f8590435-ed56-4364-83f0-2e5ffee7c558/releases/1.0.0