NESSIE:Network Example Source Supporting Innovative Experimentation

Alan Taylor; Desmond Higham

doi:10.1007/978-1-84996-396-1_5

NESSIE:Network Example Source Supporting Innovative Experimentation

Alan Taylor, Desmond Higham

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

We describe a new web-based facility that makes available some realistic examples of complex networks. NESSIE (Network Example Source Supporting Innovative Experimentation) currently contains 12 specific networks from a diverse range of application areas, with a Scottish emphasis. This collection of data sets is designed to be useful for researchers in network science who wish to evaluate new algorithms, concepts and models. The data sets are available to download in two formats (MATLAB’s .mat format and .txt files readable by packages such as Pajek), and some basic MATLAB tools for computing summary statistics are also provided.

Original language	English
Title of host publication	Network Science
Editors	Ernesto Estrada, Desmond J Higham, Maria Fox, Gian-Luca Oppo
Place of Publication	London
Publisher	Springer
Pages	85-106
Number of pages	22
ISBN (Print)	9781849963954
DOIs	https://doi.org/10.1007/978-1-84996-396-1_5
Publication status	Published - 2010

Keywords / Materials (for Non-textual outputs)

network science
algorithms
concepts
models
.mat format
.txt files
Pajek
MATLAB

Access to Document

10.1007/978-1-84996-396-1_5

Cite this

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title = "NESSIE:Network Example Source Supporting Innovative Experimentation",

abstract = "We describe a new web-based facility that makes available some realistic examples of complex networks. NESSIE (Network Example Source Supporting Innovative Experimentation) currently contains 12 specific networks from a diverse range of application areas, with a Scottish emphasis. This collection of data sets is designed to be useful for researchers in network science who wish to evaluate new algorithms, concepts and models. The data sets are available to download in two formats (MATLAB{\textquoteright}s .mat format and .txt files readable by packages such as Pajek), and some basic MATLAB tools for computing summary statistics are also provided.",

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T1 - NESSIE:Network Example Source Supporting Innovative Experimentation

AU - Taylor, Alan

AU - Higham, Desmond

N1 - e-isbn: 9781849963961

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N2 - We describe a new web-based facility that makes available some realistic examples of complex networks. NESSIE (Network Example Source Supporting Innovative Experimentation) currently contains 12 specific networks from a diverse range of application areas, with a Scottish emphasis. This collection of data sets is designed to be useful for researchers in network science who wish to evaluate new algorithms, concepts and models. The data sets are available to download in two formats (MATLAB’s .mat format and .txt files readable by packages such as Pajek), and some basic MATLAB tools for computing summary statistics are also provided.

AB - We describe a new web-based facility that makes available some realistic examples of complex networks. NESSIE (Network Example Source Supporting Innovative Experimentation) currently contains 12 specific networks from a diverse range of application areas, with a Scottish emphasis. This collection of data sets is designed to be useful for researchers in network science who wish to evaluate new algorithms, concepts and models. The data sets are available to download in two formats (MATLAB’s .mat format and .txt files readable by packages such as Pajek), and some basic MATLAB tools for computing summary statistics are also provided.

KW - network science

KW - algorithms

KW - concepts

KW - models

KW - .mat format

KW - .txt files

KW - Pajek

KW - MATLAB

U2 - 10.1007/978-1-84996-396-1_5

DO - 10.1007/978-1-84996-396-1_5

M3 - Chapter

SN - 9781849963954

SP - 85

EP - 106

BT - Network Science

A2 - Estrada, Ernesto

A2 - Higham, Desmond J

A2 - Fox, Maria

A2 - Oppo, Gian-Luca

PB - Springer

CY - London

ER -

NESSIE:Network Example Source Supporting Innovative Experimentation

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

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Cite this