Št. zadetkov: 9
Predgovor, spremna beseda
Oznake:
pametno mesto;kompleksnost;fizika družbe;ne zaključna dela;smart city;complexity;social physics;
Editorial: The physics of cities
Leto:
2022
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
znanstveno omrežje;raziskovalna kariera;fizika družbe;univerzalnost;ne zaključna dela;scientific networks;research career;social physics;universality;
A common expectation is that career productivity peaks rather early and then gradually declines with seniority. But whether this holds true is still an open question. Here we investigate the productivity trajectories of almost 8500 scientists from over 50 disciplines using methods from time-series a ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
kriptovalute;sprememba cene;stržna vrednost;ekonofizika;ne zaključna dela;cryptocurrency;price variation;market value;econophysics;
Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets has also motivated a myriad of scientific investigations focused on understanding their statistical properties, such as ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
kompleksni sistem;korelacije;epidemije;ne zaključna dela;complex system;correlation;epidemics;
While extensive literature exists on the COVID-19 pandemic at regional and national levels, understanding its dynamics and consequences at the city level remains limited. This study investigates the pandemic in Maringá, a medium-sized city in Brazil’s South Region, using data obtained by actively mo ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
COVID-19;skaliranje;velikost mesta;epidemija;napoved;scaling;city size;epidemic;prediction;
The current outbreak of the coronavirus disease 2019 (COVID-19) is an unprecedented example of how fast an infectious disease can spread around the globe (especially in urban areas) and the enormous impact it causes on public health and socio-economic activities. Despite the recent surge of investig ...
Leto:
2020
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
ujetje delca;heterogenost;difuzija;statistična fizika;ne zaključna dela;particle trapping;heterogeneity;diffusion;statistical physics;
Heterogeneous media diffusion is often described using position-dependent diffusion coefficients and estimated indirectly through mean squared displacement in experiments. This approach may overlook other mechanisms and their interaction with position-dependent diffusion, potentially leading to erro ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
korupcija;omrežje;politika;univerzalnost;fizika družbe;corruption;network;politics;universality;social physics;
Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is known about the properties of these networks. Here we present a comprehensive investigation of corruption networks related ...
Leto:
2022
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
strojno učenje;kriminal;omrežje;fizika družbe;machine learning;crime;network;social physics;
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks remains little explored. Here, by combining graph representation learning and machine learning methods, we show that str ...
Leto:
2022
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Izvirni znanstveni članek
Oznake:
organiziran kriminal;kompleksnost;napovedovanje kriminala;GraphSAGE;ne zaključna dela;organized crime;complexity;crime prediction;
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a surge of interest at the interface between network science and machine learning. Despite this, the use of machine learnin ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)