Towards a spatiotemporal characterization of interacting populations
In this thesis work, the study of spatiotemporal component of social interacting systems is analyzed. The spatial component is studied through an exhaustive computational simulation work, where individuals of two different groups are interacting in a two dimensional grid. Two different models were e...
- Autores:
-
Medina Sánchez, Pablo Alexander
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2016
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/7703
- Acceso en línea:
- http://hdl.handle.net/1992/7703
- Palabra clave:
- Sistemas sociales - Simulación por computadores
Sistemas sociales - Procesamiento de datos
Interacción social - Simulación por computadores
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | In this thesis work, the study of spatiotemporal component of social interacting systems is analyzed. The spatial component is studied through an exhaustive computational simulation work, where individuals of two different groups are interacting in a two dimensional grid. Two different models were explored to study the basic formations of a bunch of social systems: the Schelling model of social segregation and the Sakoda model of social interactions. Both models explain the global formation of social structures through local interactions of individuals. Variations of different parameters of interaction ranges and movements produce many different structures. Despite of this, commonalities appear allowing to understand different aspects of these dynamics. The events timing in systems composed by two populations in conflict is studied. This study is based on the escalation and de-escalation patterns of those events |
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