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
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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
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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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
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e-ISSN
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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