Mapping temporal-network percolation to weighted, static event graphs

Mikko Kivelä, Jordan Cambe, Jari Saramäki, Márton Karsai*

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

7 Sitaatiot (Scopus)
116 Lataukset (Pure)

Abstrakti

The dynamics of diffusion-like processes on temporal networks are influenced by correlations in the times of contacts. This influence is particularly strong for processes where the spreading agent has a limited lifetime at nodes: disease spreading (recovery time), diffusion of rumors (lifetime of information), and passenger routing (maximum acceptable time between transfers). We introduce weighted event graphs as a powerful and fast framework for studying connectivity determined by time-respecting paths where the allowed waiting times between contacts have an upper limit. We study percolation on the weighted event graphs and in the underlying temporal networks, with simulated and real-world networks. We show that this type of temporal-network percolation is analogous to directed percolation, and that it can be characterized by multiple order parameters.

AlkuperäiskieliEnglanti
Artikkeli12357
Sivut1-9
JulkaisuScientific Reports
Vuosikerta8
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 1 joulukuuta 2018
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

Sormenjälki Sukella tutkimusaiheisiin 'Mapping temporal-network percolation to weighted, static event graphs'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

  • Laitteet

    Science-IT

    Mikko Hakala (Manager)

    Perustieteiden korkeakoulu

    Laitteistot/tilat: Facility

  • Siteeraa tätä