A DISCUSSION OF RANDOM GRAPH MODELS UTILIZATION FOR GLOBAL STRATEGIC MANAGEMENT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901398" target="_blank" >RIV/00216275:25410/16:39901398 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A DISCUSSION OF RANDOM GRAPH MODELS UTILIZATION FOR GLOBAL STRATEGIC MANAGEMENT
Original language description
Social network analysis has received a lot of attention recently due to globalization tendencies around the world. One part of this methodology is so called complex networks which have very close to real-world networks. The study of complex networks is active part of scientific research in many areas such as mathematics, economy, sociology, biology, and others. To study such large graphs, it is possible to use random graphs models. Such graphs are usually described by some rules that define probability of structure or properties of such graphs. It is believed that studying random graphs can help understand the structure of large graphs or complex networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Globalization and Its Socio-Economic Consequences 16th International Scientific Conference Globalization and Its Socio-Economic Consequences Proceedings
ISBN
978-80-8154-191-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1628-1634
Publisher name
Žilinská univerzita
Place of publication
Žilina
Event location
Rajecké Teplice
Event date
Oct 5, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000393253800201