131 citations · 888 across the 48 of their papers we have counts for
9 papers · 1 filter
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…
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…
Modeling the Spread of Multiple Contagions on Multilayer Networks
Petar Jovanovski, Igor Tomovski, Ljupco Kocarev
A susceptible-infected-susceptible (SIS) model of multiple contagions on multilayer networks is developed to incorporate different spreading channels and disease mutations. The bas…
Analysis of renewable energy sources and electric vehicle penetration into energy systems predominantly based on lignite
Aleksandar Dedinec, Borko Jovanovski, Andrej Gajduk +2
We consider an integration of renewable energy into transport and electricity sectors through vehicle to grid (V2G) technologies for an energy system that is predominantly based on…
Beyond network structure: How heterogenous susceptibility modulates the spread of epidemics
Daniel Smilkov, Cesar A. Hidalgo, Ljupco Kocarev
The compartmental models used to study epidemic spreading often assume the same susceptibility for all individuals, and are therefore, agnostic about the effects that differences i…
The influence of the network topology on epidemic spreading
Daniel Smilkov, Ljupco Kocarev
The influence of the network's structure on the dynamics of spreading processes has been extensively studied in the last decade. Important results that partially answer this questi…