68 citations · 324 across the 23 of their papers we have counts for
5 papers · 1 filter
Semi-Markov random walk on complex networks
Lasko Basnarkov
We present a semi-Markov model of random walk on complex networks in discrete and continuous-time scenario. In the general setting of the semi-Markov chains, the duration of stay a…
Endemic state equivalence between non-Markovian SEIS and Markov SIS model in complex networks
Igor Tomovski, Lasko Basnarkov, Alajdin Abazi
In the light of several major epidemic events that emerged in the past two decades, and emphasized by the COVID-19 pandemics, the non-Markovian spreading models occurring on comple…
Non-Markovian SIR epidemic spreading model
Lasko Basnarkov, Igor Tomovski, Trifce Sandev +1
We introduce non-Markovian SIR epidemic spreading model inspired by the characteristics of the COVID-19, by considering discrete- and continuous-time versions. The incubation perio…
SEAIR epidemic spreading model of COVID-19
Lasko Basnarkov
We study Susceptible-Exposed-Asymptomatic-Infectious-Recovered (SEAIR) epidemic spreading model of COVID-19. It captures two important characteristics of the infectiousness of COVI…
Random Walk with Memory on Complex Networks
Lasko Basnarkov, Miroslav Mirchev, Ljupco Kocarev
We study random walk on complex networks with transition probabilities which depend on the current and previously visited nodes. By using an absorbing Markov chain we derive an exa…