Search Results for author:
Found 8 papers, 3 papers with code
Automated Fake News Detection using cross-checking with reliable sources
We use Natural Language Processing (NLP) and build a machine learning (ML) model that automates the process of cross-checking new information with a set of predefined reliable sources.
Effects of measures on phase transitions in two cooperative susceptible-infectious-recovered dynamics
We use the mean-field approximation to illustrate how measures that remove a portion of the susceptible compartment, like vaccination, with high enough rates can change discontinuous transitions in two coupled susceptible-infectious-recovered dynamics into continuous ones while increasing the threshold of transitions.
Emergence of synergistic and competitive pathogens in a co-evolutionary spreading mode
Cooperation and competition between pathogens can alter the amount of individuals affected by a co-infection.
Emergence of Hopf bifurcation in an extended SIR dynamic
In this paper, the SIR dynamics is extended by considering another compartmental which represents hospitalization of the critical cases.
Social distancing in pedestrian dynamics and its effect on disease spreading
For the mobility dynamics, we design an agent based model consisting of pedestrian dynamics with a novel type of force to resemble social distancing in crowded sites.
Physics and Society Populations and Evolution
Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics
While randomization of the daily pattern correlations has no significant effect on the size of outbreak in either of the coinfection or independent spreading cases.
Populations and Evolution Physics and Society
Interplay between competitive and cooperative interactions in a three-player pathogen system
We studied this problem considering two cooperating pathogens, where one pathogen is further structured in two strains.
Extracting information from S-curves of language change
Combining data analysis with simulations of simple models (e. g., the Bass dynamics on complex networks) we identify signatures of endogenous and exogenous factors in the S-curves of adoption.
