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Network Analysis of Intermediaries in Ecommerce

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F20%3A43901119" target="_blank" >RIV/60076658:12510/20:43901119 - isvavai.cz</a>

  • Result on the web

    <a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final_final.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network Analysis of Intermediaries in Ecommerce

  • Original language description

    E-commerce from the point of view of network science can be charac-terized as bipartite network. One part of such a network is made up of users and the other part is by electronic shops (e-shops). Transactions between these groups can be represented by user-to-e-shops edges. Edges can be weighted, when weight can express the size of the transaction, etc. Similarly, nodes can be assigned a similar parameter, node strength. It may mean reputation, the size of e-shop, ability to buy, etc. In this paper, we look at the situation where other en-tities enter such ecommerce bipartite network. These entities will occupy a cen-tral position between the aforementioned two parts of the originally bipartite network, affect relationships and change the topology of original bipartite net-work. Gaining a central position is beneficial due to the relative simplicity of the possibility to influence of other agents. Central position defines an information broker who accesses information and integrates it through social links. In this paper we study the properties of intermediaries and show its distribution char-acteristics in dependence of behavior of users and e-shops.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    46-52

  • Publisher name

    Mendelova univerzita v Brně

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 9, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000668460800006