A program generating homogeneous random graphs with given weights
Main Author: | CPC, Mendeley |
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Other Authors: | Bogacz, L., Burda, Z., Janke, W., Waclaw, B. |
Format: | Dataset |
Terbitan: |
Mendeley
, 2005
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Subjects: | |
Online Access: |
https:/data.mendeley.com/datasets/vx625zmdwm |
ctrlnum |
0.17632-vx625zmdwm.1 |
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fullrecord |
<?xml version="1.0"?>
<dc><creator>CPC, Mendeley</creator><title>A program generating homogeneous random graphs with given weights </title><publisher>Mendeley</publisher><description>Abstract
We present a program package to generate homogeneous random graphs with probabilities prescribed by the user. The statistical weight of a labeled graph α is given in the form W(α)=∏i=1Np(qi), where p(q) is an arbitrary user function and qi are the degrees of the graph nodes. The program can be used to generate two types of graphs (simple graphs and pseudo-graphs) from three types of ensembles (micro-canonical, canonical and grand-canonical). Title of the program:GraphGen Catalogue identifier:...
Title of program: GraphGen
Catalogue Id: ADWL_v1_0
Nature of problem
The program generates random graphs. The probabilities of graph occurrence are proportional to their statistical weight, dependent on node degrees defined by arbitrary distributions.
Versions of this program held in the CPC repository in Mendeley Data
ADWL_v1_0; GraphGen; 10.1016/j.cpc.2005.07.010
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)</description><subject>Computer Hardware</subject><subject>Software</subject><subject>Statistical Physics</subject><subject>Programming Language</subject><subject>Computational Physics</subject><subject>Thermodynamics</subject><subject>Computational Method</subject><contributor>Bogacz, L.</contributor><contributor>Burda, Z.</contributor><contributor>Janke, W.</contributor><contributor>Waclaw, B.</contributor><type>Other:Dataset</type><identifier>10.17632/vx625zmdwm.1</identifier><rights>Computer Physics Communications Journal Licence</rights><rights>https://www.elsevier.com/about/policies/open-access-licenses/elsevier-user-license/cpc-license/</rights><relation>https:/data.mendeley.com/datasets/vx625zmdwm</relation><date>2005-12-15T12:00:00Z</date><recordID>0.17632-vx625zmdwm.1</recordID></dc>
|
format |
Other:Dataset Other |
author |
CPC, Mendeley |
author2 |
Bogacz, L. Burda, Z. Janke, W. Waclaw, B. |
title |
A program generating homogeneous random graphs with given weights |
publisher |
Mendeley |
publishDate |
2005 |
topic |
Computer Hardware Software Statistical Physics Programming Language Computational Physics Thermodynamics Computational Method |
url |
https:/data.mendeley.com/datasets/vx625zmdwm |
contents |
Abstract
We present a program package to generate homogeneous random graphs with probabilities prescribed by the user. The statistical weight of a labeled graph α is given in the form W(α)=∏i=1Np(qi), where p(q) is an arbitrary user function and qi are the degrees of the graph nodes. The program can be used to generate two types of graphs (simple graphs and pseudo-graphs) from three types of ensembles (micro-canonical, canonical and grand-canonical). Title of the program:GraphGen Catalogue identifier:...
Title of program: GraphGen
Catalogue Id: ADWL_v1_0
Nature of problem
The program generates random graphs. The probabilities of graph occurrence are proportional to their statistical weight, dependent on node degrees defined by arbitrary distributions.
Versions of this program held in the CPC repository in Mendeley Data
ADWL_v1_0; GraphGen; 10.1016/j.cpc.2005.07.010
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019) |
id |
IOS7969.0.17632-vx625zmdwm.1 |
institution |
Universitas Islam Indragiri |
affiliation |
onesearch.perpusnas.go.id |
institution_id |
804 |
institution_type |
library:university library |
library |
Teknologi Pangan UNISI |
library_id |
2816 |
collection |
Artikel mulono |
repository_id |
7969 |
city |
INDRAGIRI HILIR |
province |
RIAU |
shared_to_ipusnas_str |
1 |
repoId |
IOS7969 |
first_indexed |
2020-04-08T08:15:23Z |
last_indexed |
2020-04-08T08:15:23Z |
recordtype |
dc |
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1686587409642291200 |
score |
17.538404 |