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Approximation of homogeneous networks using Exponential Random Graph Models

Ceoldo, Giacomo (2018) Approximation of homogeneous networks using Exponential Random Graph Models. Master's Thesis / Essay, Mathematics.

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Abstract

Every homogeneous network can be approximated by an Exponential Random Graph Model with sufficient statistics that depends on the eigenvalue distribution, the main result is the computation of the relative entropy between the real and approximating model

Item Type: Thesis (Master's Thesis / Essay)
Supervisor:
Supervisor nameSupervisor E mail
Wit, E.C.E.C.Wit@rug.nl
Degree programme: Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 14 Jul 2018
Last Modified: 02 Aug 2018 10:57
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/17882

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