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Generating conditional uniform random networks by optimization procedures

Author
Nasini, S.; Castro, J.
Type of activity
Presentation of work at congresses
Name of edition
International Network Optimization Conference 2013
Date of publication
2013
Presentation's date
2013-05-22
Book of congress proceedings
INOC 2013: International Network Optimization Conference, May 20-22, 2013
First page
16
Last page
19
Publisher
Universidad de La Laguna
Project funding
MTM2012-31440 Optimization of large-scale structured problems. Applications to data confidentiality.
Repository
http://hdl.handle.net/2117/20374 Open in new window
URL
https://ddv.ull.es/users/inoc2013/public/Proceedings/PDFbook.pdf Open in new window
Abstract
Complex networks is a recent area of research motivated by the empirical study of real-world networks, such as social relations, protein interaction, neuronal connections, etc. As closed-form probabilistic models of networks are often not available, the ability of randomly generating networks verifying specic constraints might be useful. The purpose of this work is to develop optimization-based procedures to randomly generate networks with structural constraints, within the probabilistic framewo...
Citation
Nasini, S.; Castro, J. Generating conditional uniform random networks by optimization procedures. A: International Network Optimization Conference. "INOC 2013: International Network Optimization Conference, May 20-22, 2013". Tenerife: Universidad de La Laguna, 2013, p. 16-19.
Keywords
Block-angular problems, Conditional Random Networks, Interior Point Methods, Linear Programming, Social Networks.
Group of research
GNOM - Mathematical Optimization Group

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