Interplay Between Spreading and Random Walk Processes in Multiplex Networks

Tutkimustuotos: Lehtiartikkeli

Tutkijat

  • Igor Mishkovski
  • Miroslav Mirchev
  • Sanja Scepanovic
  • Ljupco Kocarev

Organisaatiot

  • Macedonian Academy of Sciences and Arts
  • SS Cyril and Methodius University in Skopje
  • University of California at San Diego

Kuvaus

Real networks in our surrounding are usually complex and composite by nature and they consist of many interwoven layers. The commutation of agents (nodes) across layers in these composite multiplex networks heavily influences the underlying dynamical processes, such as information, idea and disease spreading, synchronization, consensus, etc. In order to understand how the agents' dynamics and the compositeness of multiplex networks influence the spreading dynamics, we develop a susceptible-infected-susceptible-based model on the top of these networks, which is integrated with the transition of agents across layers. Moreover, we analytically obtain a critical infection rate for which an epidemic dies out in a multiplex network, and latter show that this rate can be higher compared with the isolated networks. Finally, using numerical simulations we confirm the epidemic threshold and we show some interesting insights into the epidemic onset and the spreading dynamics in several real and generic multiplex networks.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut2761-2771
Sivumäärä11
JulkaisuIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Vuosikerta64
Numero10
TilaJulkaistu - lokakuuta 2017
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 16053162