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Random Graph Models Utilization for Economics Purposes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39911787" target="_blank" >RIV/00216275:25410/17:39911787 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Random Graph Models Utilization for Economics Purposes

  • Original language description

    This paper explores the usability of random graph models from the field of social network analysis for selected topics in the field of economic sciences. Specific examples are given in the field of international trade and strategic research as part of international research analysis. At present, there is an increasing need to connect individuals or organizations to increasingly complex networks, and as the complexity of such structures grows, the need for understanding how such structures are created and what they actually mean. The method of random graphs used in the paper serves as an appropriate method for such analysis.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the International Conference on Computer-Human Interaction Research and Applications CHIRA 2017

  • ISBN

    978-989-758-267-7

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    230-234

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    Porto

  • Event location

    Funchal

  • Event date

    Oct 31, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article