Condition numbers and scale free graphs

In this work we study the condition number of the least square matrix corresponding to scale free networks. We compute a theoretical lower bound of the condition number which proves that they are ill conditioned. Also, we analyze several matrices from networks generated with Linear Preferential Atta...

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Detalles Bibliográficos
Autores principales: Acosta, G., Graña, M., Pinasco, J.P.
Formato: JOUR
Materias:
Least squares approximations
Mathematical models
Matrix algebra
Number theory
Numerical methods
Edges models
Least square methods
Power law exponents
Scale free networks
Graph theory
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14346028_v53_n3_p381_Acosta
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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