# ABMS of social network based on affinity

## TL;DR

This paper introduces an agent-based model to analyze social network dynamics, focusing on individual behaviors, preferences, and emergent phenomena like clustering and polarization.

## Contribution

It presents a simplified yet property-compliant ABMS that incorporates evolving profile preferences and analyzes their impact on network phenomena.

## Key findings

- Emergence of clusters and polarization in the network
- Preferences influence network homogeneity
- Network characteristics affect social dynamics

## Abstract

An agent-based model is proposed for analyzing the dynamics that arise from interactions within social networks, analyzing the individual behavior of each profile. Said model considers a simplified construction of a social network while satisfying properties attributed to this type of systems. For that matter, previously established studies on the matter are taken into account, while including each profiles preferences, and how they evolve with time, for the system's dynamic behavior. Results are analyzed based on concepts like the emergence of clusters, the polarization of the network and the homogeneity of preferences between connected profiles; and how they may depend on the characteristics of the profiles and of the network.