Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Exponential random grahp model as tool for analyzing of international trade

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913571" target="_blank" >RIV/00216275:25410/18:39913571 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Exponential random grahp model as tool for analyzing of international trade

  • Popis výsledku v původním jazyce

    This paper deals with the analysis of international trade within the EU from the point of view of modelling social networks using the exponential random graph method. This method appears to be convenient from a practical point of view because it examines the behaviour of specific entities within the network. There are many studies that analyse the various effects of bilateral trade relationships from different perspectives, such as the volatility rate. International trade has a huge impact on the development of globalization within the world. It creates the appropriate background for the further development of relations between countries and not necessarily between countries dealing with trade. Exponential random graph models attempt to look for dependencies in relationships between entities, and then create a model for network structure. This model provides a view of the entire network from the point of view of local structures such as reciprocated ties or triangles. The social network can then be perceived as a structure that is made up of local patterns of specific relationships that we call network configurations. These configurations correspond to the model parameters. Exponential random graph can be used to create models in different cases and one of the areas where these models are not so much used is international trade. The international trade of EU is well recorded and it is possible to establish a network of relationships where the level of trade and the interconnection between countries creates the appropriate background for further modelling using exponential random graph models.

  • Název v anglickém jazyce

    Exponential random grahp model as tool for analyzing of international trade

  • Popis výsledku anglicky

    This paper deals with the analysis of international trade within the EU from the point of view of modelling social networks using the exponential random graph method. This method appears to be convenient from a practical point of view because it examines the behaviour of specific entities within the network. There are many studies that analyse the various effects of bilateral trade relationships from different perspectives, such as the volatility rate. International trade has a huge impact on the development of globalization within the world. It creates the appropriate background for the further development of relations between countries and not necessarily between countries dealing with trade. Exponential random graph models attempt to look for dependencies in relationships between entities, and then create a model for network structure. This model provides a view of the entire network from the point of view of local structures such as reciprocated ties or triangles. The social network can then be perceived as a structure that is made up of local patterns of specific relationships that we call network configurations. These configurations correspond to the model parameters. Exponential random graph can be used to create models in different cases and one of the areas where these models are not so much used is international trade. The international trade of EU is well recorded and it is possible to establish a network of relationships where the level of trade and the interconnection between countries creates the appropriate background for further modelling using exponential random graph models.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10103 - Statistics and probability

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Globalization and Its Socio-Economics Consequences. 18th International Scientific Conference : proceedings

  • ISBN

    978-80-8154-249-7

  • ISSN

    2454-0943

  • e-ISSN

  • Počet stran výsledku

    7

  • Strana od-do

    1748-1754

  • Název nakladatele

    Žilinská univerzita

  • Místo vydání

    Žilina

  • Místo konání akce

    Rajecké Teplice

  • Datum konání akce

    10. 10. 2018

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000681676300223