SEECN : simulating complex systems using dynamic complex networks

Multiscale, multiphysics systems are too complex for traditional mathematical modeling and require numerical simulation, yet such systems arise everywhere from modeling the immune system and protein interaction to epidemic spread in a human population. Unfortunately, at present researchers create th...

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Main Authors: Quax, Rick., Bader, David A., Sloot, Peter M. A.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/84327
http://hdl.handle.net/10220/10128
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-843272020-05-28T07:18:58Z SEECN : simulating complex systems using dynamic complex networks Quax, Rick. Bader, David A. Sloot, Peter M. A. School of Computer Engineering Multiscale, multiphysics systems are too complex for traditional mathematical modeling and require numerical simulation, yet such systems arise everywhere from modeling the immune system and protein interaction to epidemic spread in a human population. Unfortunately, at present researchers create their own ad hoc programs for their particular study. To address this problem we present the simulator for efficient evolution on complex networks (SEECN), an expressive simulator of complex systems that optimizes for both single-core and parallel performance. In SEECN, a complex network represents the system where the nodes and edges have specified properties that dictate the dynamics of the network over time. Our application is a detailed model of HIV spread among men who have sex with men and serves to show the simulator's expressiveness and to evaluate its performance. 2013-06-10T07:32:47Z 2019-12-06T15:42:48Z 2013-06-10T07:32:47Z 2019-12-06T15:42:48Z 2011 2011 Journal Article Quax, R., Bader, D. A., & Sloot, P. M. A. (2011). SEECN: Simulating Complex Systems Using Dynamic Complex Networks. International Journal for Multiscale Computational Engineering, 9(2), 201-214. https://hdl.handle.net/10356/84327 http://hdl.handle.net/10220/10128 10.1615/IntJMultCompEng.v9.i2.50 en International Journal for Multiscale Computational Engineering © 2011 Begell House.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description Multiscale, multiphysics systems are too complex for traditional mathematical modeling and require numerical simulation, yet such systems arise everywhere from modeling the immune system and protein interaction to epidemic spread in a human population. Unfortunately, at present researchers create their own ad hoc programs for their particular study. To address this problem we present the simulator for efficient evolution on complex networks (SEECN), an expressive simulator of complex systems that optimizes for both single-core and parallel performance. In SEECN, a complex network represents the system where the nodes and edges have specified properties that dictate the dynamics of the network over time. Our application is a detailed model of HIV spread among men who have sex with men and serves to show the simulator's expressiveness and to evaluate its performance.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Quax, Rick.
Bader, David A.
Sloot, Peter M. A.
format Article
author Quax, Rick.
Bader, David A.
Sloot, Peter M. A.
spellingShingle Quax, Rick.
Bader, David A.
Sloot, Peter M. A.
SEECN : simulating complex systems using dynamic complex networks
author_sort Quax, Rick.
title SEECN : simulating complex systems using dynamic complex networks
title_short SEECN : simulating complex systems using dynamic complex networks
title_full SEECN : simulating complex systems using dynamic complex networks
title_fullStr SEECN : simulating complex systems using dynamic complex networks
title_full_unstemmed SEECN : simulating complex systems using dynamic complex networks
title_sort seecn : simulating complex systems using dynamic complex networks
publishDate 2013
url https://hdl.handle.net/10356/84327
http://hdl.handle.net/10220/10128
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