Analysing networks of networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AWWEA26JE" target="_blank" >RIV/00216208:11320/23:WWEA26JE - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150456850&doi=10.1016%2fj.socnet.2023.02.002&partnerID=40&md5=f888d2c28b2fc13da563e04f2483fc2b" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150456850&doi=10.1016%2fj.socnet.2023.02.002&partnerID=40&md5=f888d2c28b2fc13da563e04f2483fc2b</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.socnet.2023.02.002" target="_blank" >10.1016/j.socnet.2023.02.002</a>

Result language

angličtina

Original language name

Analysing networks of networks

Original language description

"We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the individual semantic structures are represented as semantic networks of a group of actors and connected through these actors’ social ties to constitute knowledge of a social group. How to jointly represent the two types of networks is not trivial as the layers and not the nodes of the layers of the reported networks are coupled through a network on the reports. We propose to transform the different multiple networks using line graphs, where actors are affiliated with ties represented as nodes, and represent the totality of the different types of ties as a multilevel network. This affords studying the associations between the social network and the reports as well as the alignment of the reports to a criterion graph. We illustrate how the procedure can be applied to studying the social construction of knowledge in local flood management groups. Here we use multilevel exponential random graph models but the representation also lends itself to stochastic actor-oriented models, multilevel blockmodels, and any model capable of handling multilevel networks. © 2023 The Authors"

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

—

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

"Social Networks"

ISSN

0378-8733

e-ISSN

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Volume of the periodical

74

Issue of the periodical within the volume

2023

Country of publishing house

US - UNITED STATES

Number of pages

16

Pages from-to

102-117

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85150456850