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Generating global network structures by triad types
ID
Cugmas, Marjan
(
Author
),
ID
Ferligoj, Anuška
(
Author
),
ID
Žiberna, Aleš
(
Author
)
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https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0197514
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Abstract
This paper addresses the question of whether one can generate networks with a given global structure (defined by selected blockmodels, i.e., cohesive, core-periphery, hierarchical, and transitivity), considering only different types of triads. Two methods are used to generate networks: (i) the newly proposed method of relocating links; and (ii) the Monte Carlo Multi Chain algorithm implemented in the ergm package in R. Most of the selected blockmodel types can be generated by considering all types of triads. The selection of only a subset of triads can improve the generated networks' blockmodel structure. Yet, in the case of a hierarchical blockmodel without complete blocks on the diagonal, additional local structures are needed to achieve the desired global structure of generated networks. This shows that blockmodels can emerge based only on local processes that do not take attributes into account.
Language:
English
Keywords:
algorithms
,
network analysis
,
statistical distributions
,
census
,
network motifs
,
Monte Carlo method
,
solvation
,
social networks
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FDV - Faculty of Social Sciences
Publication status:
Published
Publication version:
Version of Record
Year:
2018
Number of pages:
24 str.
Numbering:
Vol. 13, iss. 5, art. e0197514
PID:
20.500.12556/RUL-128369
UDC:
311
ISSN on article:
1932-6203
DOI:
10.1371/journal.pone.0197514
COBISS.SI-ID:
35624541
Publication date in RUL:
09.07.2021
Views:
1153
Downloads:
184
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Title:
PloS one
Publisher:
PLOS
ISSN:
1932-6203
COBISS.SI-ID:
2005896
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
30.05.2018
Secondary language
Language:
Slovenian
Keywords:
globalna omrežja
,
triade
Projects
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Young researchers
Funder:
ARRS - Slovenian Research Agency
Project number:
P5-0168
Name:
Družboslovna metodologija, statistika in informatika
Funder:
ARRS - Slovenian Research Agency
Project number:
J7-8279
Name:
Bločno modeliranje večnivojskih in časovnih omrežij
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