Yes! We got the best paper award during the 2020 Brazilian Workshop on Social Network Analysis and Mining! Our paper entitled Disconnecting for the good: A network-oriented model for social contagion of opinions and social network interventions to increase adherence to social distancing presents our study on how social network topologies and public health agencies […]
A new article was published on how the new coronavirus spreads in a socioeconomic inequality context in Brazil. The work was a partnership between LNCC, UFLA, UnB and researchers from the Brazilian Army. An Agent-based Model was created and census data was used to insert real information about the population and its relevant characteristics for […]
The situation in Brazil regarding the control of the pandemic of COVID-19 has been brought to another level when the Ministry of Health decided to change the methodology of the statistics shown in the main website of the government. The changes on the interface of the website and the methodology to count only deaths that […]
We lectured a workshop about Agent-based modelling using Netlogo during the SPOLM 2019, in Rio de Janeiro. The event happened from 6 to 9 of November. Our workshop was run twice, and the feedback was very positive. Above all, new contacts and future research on the radar involving cognitive modelling for the military. We are […]
The work in partnership with researchers from the VU Amsterdam and the Radboud University resulted in our newly released paper entitled “Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study“. The aim of this study is to test which selection criterion to determine influence agents in a […]
The work entitled A Social Network Model for Integration of Refugees was accepted for the Simultech 2019, held in Prague, Czech Republic. The work presents a model based on homophily and social network dynamics to explain how is the integration of refugees in a new society based on personal traits like educational level and religiousness. […]