Resumen
Network simulation has gathered enormous interest lately as it is seen as the new approach to deal with complexity. The growth of social networks is widely known, and its scale and complexity define them as complex systems either for representation or analysis. Networks mean connection between individuals, organizations, etc. Complexity is inherent to this concept and, for its representation and analysis; we need a confident and precise methodology. Here is where simulation methods and techniques play a major role. Network topology and the dynamic behavior of nodes, their constant change, the influence that individual network components have, the weight assignment according to influence, dynamic changes of components, and the spreading and diffusion of information deserve a careful representation. Simulation has become the necessary tool for representation and prediction of complex systems. It can provide with the means for covering all levels, general or strategic, to specific or operational, In this paper, we take a glance of some types of networks, their definition, use and structure. We analyze different types of simulations and ways we can represent these complex networks. We present a case study based on a University Enrollment Model and a hybrid simulation approach to deal with it.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Education and Training Modeling and Simulation 2012, ETMS 2012 - 2012 Autumn Simulation Multiconference, AutumnSim 2012 |
| Páginas | 54-63 |
| Número de páginas | 10 |
| Volumen | 44 |
| Edición | 14 |
| Estado | Published - 1 dic 2012 |
| Evento | Education and Training Modeling and Simulation 2012, ETMS 2012, Part of the 2012 Autumn Simulation Multiconference, AutumnSim 2012 - San Diego, CA, United States Duración: 28 oct 2012 → 31 oct 2012 |
Conference
| Conference | Education and Training Modeling and Simulation 2012, ETMS 2012, Part of the 2012 Autumn Simulation Multiconference, AutumnSim 2012 |
|---|---|
| País | United States |
| Ciudad | San Diego, CA |
| Período | 28/10/12 → 31/10/12 |
Huella dactilar
ASJC Scopus subject areas
- Computer Networks and Communications
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A conceptual approach to a hybrid network simulation model. / Robledo, Luis F.; Sepulveda, Jose; Archer, Sandra.
Education and Training Modeling and Simulation 2012, ETMS 2012 - 2012 Autumn Simulation Multiconference, AutumnSim 2012. Vol. 44 14. ed. 2012. p. 54-63.Resultado de la investigación: Conference contribution
TY - GEN
T1 - A conceptual approach to a hybrid network simulation model
AU - Robledo, Luis F.
AU - Sepulveda, Jose
AU - Archer, Sandra
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Network simulation has gathered enormous interest lately as it is seen as the new approach to deal with complexity. The growth of social networks is widely known, and its scale and complexity define them as complex systems either for representation or analysis. Networks mean connection between individuals, organizations, etc. Complexity is inherent to this concept and, for its representation and analysis; we need a confident and precise methodology. Here is where simulation methods and techniques play a major role. Network topology and the dynamic behavior of nodes, their constant change, the influence that individual network components have, the weight assignment according to influence, dynamic changes of components, and the spreading and diffusion of information deserve a careful representation. Simulation has become the necessary tool for representation and prediction of complex systems. It can provide with the means for covering all levels, general or strategic, to specific or operational, In this paper, we take a glance of some types of networks, their definition, use and structure. We analyze different types of simulations and ways we can represent these complex networks. We present a case study based on a University Enrollment Model and a hybrid simulation approach to deal with it.
AB - Network simulation has gathered enormous interest lately as it is seen as the new approach to deal with complexity. The growth of social networks is widely known, and its scale and complexity define them as complex systems either for representation or analysis. Networks mean connection between individuals, organizations, etc. Complexity is inherent to this concept and, for its representation and analysis; we need a confident and precise methodology. Here is where simulation methods and techniques play a major role. Network topology and the dynamic behavior of nodes, their constant change, the influence that individual network components have, the weight assignment according to influence, dynamic changes of components, and the spreading and diffusion of information deserve a careful representation. Simulation has become the necessary tool for representation and prediction of complex systems. It can provide with the means for covering all levels, general or strategic, to specific or operational, In this paper, we take a glance of some types of networks, their definition, use and structure. We analyze different types of simulations and ways we can represent these complex networks. We present a case study based on a University Enrollment Model and a hybrid simulation approach to deal with it.
KW - Agent-based
KW - Enrollment modeling
KW - Hybrid simulation
KW - Network simulation
KW - System dynamics
UR - http://www.scopus.com/inward/record.url?scp=84879351815&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84879351815
SN - 9781622760992
VL - 44
SP - 54
EP - 63
BT - Education and Training Modeling and Simulation 2012, ETMS 2012 - 2012 Autumn Simulation Multiconference, AutumnSim 2012
ER -