The networked seceder model: Group formation in social and economic systems
Andreas Gronlund, Petter Holme

TL;DR
This paper transforms the agent-based seceder model into a network evolution model, demonstrating its ability to replicate social network structures and exploring extensions to corporate networks.
Contribution
It introduces a network-based version of the seceder model, providing a new framework for understanding group formation in social and economic systems.
Findings
Model closely matches empirical social network structures
Provides statistical insights into group formation dynamics
Discusses extensions to corporate network modeling
Abstract
The seceder model illustrates how the desire to be different than the average can lead to formation of groups in a population. We turn the original, agent based, seceder model into a model of network evolution. We find that the structural characteristics our model closely matches empirical social networks. Statistics for the dynamics of group formation are also given. Extensions of the model to networks of companies are also discussed.
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