Distribution of Node Characteristics in Evolving Tripartite Network
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Distribution of Node Characteristics in Evolving Tripartite Network
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Distribution of Node Characteristics in Evolving Tripartite Network
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Entropy
ISSN
1099-4300
e-ISSN
—
Svazek periodika
22
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
20
Strana od-do
1-20
Kód UT WoS článku
000526524300036
EID výsledku v databázi Scopus
2-s2.0-85082692465