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Distribution of Node Characteristics in Evolving Tripartite Network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F20%3A43901053" target="_blank" >RIV/60076658:12510/20:43901053 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1099-4300/22/3/263/htm" target="_blank" >https://www.mdpi.com/1099-4300/22/3/263/htm</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/e22030263" target="_blank" >10.3390/e22030263</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distribution of Node Characteristics in Evolving Tripartite Network

  • Original language description

    Many real-world networks have a natural tripartite structure. Investigating the structure and the behavior of actors in these networks is useful to gain a deeper understanding of their behavior and dynamics. In our paper, we describe an evolving tripartite network using a network model with preferential growth mechanisms and different rules for changing the strength of nodes and the weights of edges. We analyze the characteristics of the strength distribution and behavior of selected nodes and selected actors in this tripartite network. The distributions of these analyzed characteristics follow the power-law under different modeled conditions. Performed simulations have confirmed all these results. Despite its simplicity, the model expresses well the basic properties of the modeled network. It can provide further insights into the behavior of systems with more complex behaviors, such as the multi-actor e-commerce system that we have used as a real basis for the validation of our model.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • 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

  • Name of the periodical

    Entropy

  • ISSN

    1099-4300

  • e-ISSN

  • Volume of the periodical

    22

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    20

  • Pages from-to

    1-20

  • UT code for WoS article

    000526524300036

  • EID of the result in the Scopus database

    2-s2.0-85082692465