activity
20092026
most citedGeneralized Network Dismantling

219 citations · 942 across the 36 of their papers we have counts for

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Showing physics.soc-phShow all

5 papers · 1 filter

physics.soc-ph2021★ 3 cited

On the accuracy of short-term COVID-19 fatality forecasts

Nino Antulov-Fantulin, Lucas Böttcher

Forecasting new cases, hospitalizations, and disease-induced deaths is an important part of infectious disease surveillance and helps guide health officials in implementing effecti…

physics.soc-ph2021★ 8 cited

Some Challenges in Monitoring Epidemics

Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing

Epidemic models often reflect characteristic features of infectious spreading processes by coupled non-linear differential equations considering different states of health (such as…

physics.soc-ph2020★ 13 cited

Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks

Lucas Böttcher, Nino Antulov-Fantulin

Waiting times between two consecutive infection and recovery events in spreading processes are often assumed to be exponentially distributed, which results in Markovian (i.e., memo…

physics.soc-ph2011★ 40 cited

Epidemic centrality - is there an underestimated epidemic impact of network peripheral nodes?

Mile Sikic, Alen Lancic, Nino Antulov-Fantulin +1

In the study of disease spreading on empirical complex networks in SIR model, initially infected nodes can be ranked according to some measure of their epidemic impact. The highest…

physics.soc-ph2009★ 7 cited

Phase diagram of epidemic spreading - unimodal vs. bimodal probability distributions

Alen Lancic, Nino Antulov-Fantulin, Mile Sikic +1

The disease spreading on complex networks is studied in SIR model. Simulations on empirical complex networks reveal two specific regimes of disease spreading: local containment and…