Eric Fernandes de Mello AraújoUniversidade Federal de Lavras (UFLA) | UFLA · Departamento de Ciência da Computação
Eric Fernandes de Mello Araújo
PhD
About
31
Publications
8,361
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67
Citations
Citations since 2017
Introduction
Computational modeling of spread of behaviour in social networks in order to (1) improve lifestyle; (2) reduce criminality; (3) understand the spread of opinions, perceptions and behaviour in social media.
Cognitive modeling of political ideation, web media behaviour, leadership effectiveness.
Additional affiliations
September 2018 - present
September 2014 - September 2018
Position
- PhD at Behavioural Informatics Research Group
Description
- Thesis: Contagious: Modeling the Spread of Behaviours, Perceptions and Emotions in Social Networks Defended on 5th September 2018.
February 2010 - present
Education
September 2014 - September 2018
March 2007 - September 2009
February 2003 - March 2007
Publications
Publications (31)
Autonomous entities known as social bots generate an increasing amount of social media content. Not all of those bots are harmful. Lots of them are used for good purposes indeed, like helping users resolve their questions without the need of a human being. However, there is an increasing number of malicious bots that aim to persuade, slander, or ev...
Bluetooth (BT) data has been extensively used for recognizing social patterns and inferring social networks, as BT is widely present in everyday technological devices. However, even though collecting BT data is subject to random noise and may result in substantial measurement errors, there is an absence of rigorous procedures for validating the qua...
The pandemic of the new COVID-19 has raised many questions to a very connected society as to how to best respond to such a challenge at this current time. The best response so far is to call people for following the instructions from the World Health Organisation (WHO) as a way of reducing the spread of the virus and thus relieving the health syste...
O coronavírus e a desigualdade socioeconômica: um modelo baseado
em agentes para simular e avaliar o impacto de intervenções na
redução da disseminação da COVID-19 no Rio de Janeiro, Brasil.
The emergence of COVID-19 in China, in December of 2019 led to a local epidemic that rapidly spread to multiple countries in the world, including Brazil. Nowadays, there is an accelerated search to understand the dynamics of the spread of the disease and evaluate the effectiveness of intervention measures. Given these special socioeconomic conditio...
The emergence of COVID-19 in China, in December of 2019 led to a local epidemic that rapidly spread to multiple countries in the world, including Brazil. Nowadays, there is an accelerated search to understand the dynamics of the spread of the disease and evaluate the effectiveness of intervention measures. Given these special socioeconomic conditio...
The emergence of COVID-19 in China, in December of 2019 led to a local epidemic that rapidly spread to multiple countries in the world, including Brazil. Nowadays, there is an accelerated search to understand the dynamics of the spread of the disease and evaluate the effectiveness of intervention measures. Given these special socioeconomic conditio...
Presentation (in Portuguese) for the International Seminar on Education, Internet and Human Rights, organized by the Ministry of Women, Human Rights and Family of Brazil.
Background:
Social network interventions targeted at children and adolescents can have a substantial effect on their health behaviors, including physical activity. However, designing successful social network interventions is a considerable research challenge. In this study, we rely on social network analysis and agent-based simulations to better...
The present work aims to study and model the integration of refugees who appear in society, through the implementation of adaptive social networks. In our model, for each individual, their characteristics of religious-ness and language skills are considered for social integration. We also explore the homophily phenomenon as part of the creation of...
Pervasive technologies such as Bluetooth (BT) are capable of detecting close proximity. As a result, they are increasingly used for deriving social networks. However, the validity and reliability of the inferred networks is questionable as evaluation procedures are often omitted. In this paper, we present a methodology for inferring and evaluating...
BACKGROUND
Social network interventions targeted at children and adolescents can have a substantial effect on their health behaviours, including physical activity. However, designing successful social network interventions is a considerable research challenge. For example, it is unclear which criteria should be used to select influence agents that...
Then two wonders happened at the same moment. One was that the voice was suddenly joined by other voices; more voices than you could possibly count. They were in harmony with it, but far higher up the scale: cold, tingling, silvery voices. The second wonder was that the blackness overhead, all at once, was blazing with stars. They didn't come out g...
The reduction of childhood obesity through the promotion of a healthy lifestyle is one of the most important public health challenges at the moment. It is known that the unhealthy habits of children can cause unavoidable side effects in their early stage of life, including both physical and mental consequences. This work considers that the physical...
Social and cognitive sciences’ knowledge about social behavior and social networks combined with the new computational machine learning techniques can facilitate the creation of better models. We propose and evaluate a new methodology for finding personality traits of young adults involved in a network using hyper optimization
algorithms. We used...
The task of classifying political tweets has been shown to be very difficult, with controversial results in many works and with non-replicable methods. Most of the works with this goal use rule-based methods to identify political tweets. We propose here two methods, being one rule-based approach, which has an accuracy of 62%, and a supervised learn...
In this paper we describe a temporal-causal model for the spread of messages in disaster situations based on emotion contagion and awareness works. An evaluation of the model has been done by simulation experiments and mathematical analysis. Parameter tuning was done based on two scenarios, including a credible message and a dubious message. The re...
This paper presents a computational cognitive model about political positioning inspired on recent insights from neuro-science and psychology. We describe a model that takes into consideration the individual structures of the brain and the environmental influences that may interfere on how a political positioning is shaped in a social media environ...
Computational models of human processes are used for many different purposes and in many different types of applications. A common challenge in using such models is to find suitable parameter values. In many cases, the ideal parameter values are those that yield the most realistic simulation results. However, there are situations in which the goodn...
Social processes play a key role in health behaviour. Understanding the underlying mechanisms of such processes is important when designing health interventions with a social component. In this work, we apply a computational model of social contagion to a data set of 2,472 users of a physical activity promotion program. We compare this model’s pred...
The influence of social connections on human behaviour has been demonstrated in many occasions. This paper presents the analysis of the dynamic properties of longitudinal (335 days) community data (n=3,375 participants) from an online health promotion program. The community data is unique as it describes how the network has evolved since its incept...
An earlier proposed temporal-causal network model for mutual absorption of emotions aims to model emotion contagion in networks using characteristics such as traits of openness and expressiveness of the members of the network, and the strengths of the connections between them. The speed factors describing how fast emotional states change, were mode...
It is known that opinions, attitudes and emotions spread through social networks. Several of these cognitions influence behavioral choices. Therefore, it is assumed that the level of physical activity of a person is influenced by the activity levels of the people in its social network. We have performed an experiment with 20 participants between 19...
Questions
Question (1)
I started a new project on ABM for criminology and bumped on GIS and crowds movements. What I need is to simulate the movement of people commuting to work every day in a map extracted from OpenStreetMaps (OMS) platform. I program in Python, so a solution in Python would be ideal (and very convenient) for me. What library/toolbox/guide would you suggest for a newbie in GIS and simulation of crowds?
Projects
Projects (3)
This project aims to provide solutions for potential improvements in the safety of Brazilian cities. Many strategies can be simulated and tested when using ABMs, and when combined with realistic information about the situation and potential causes of violence can lead to proposals that can affect directly the quality of life of all inhabitants of a big city.
This project aims to study political opinions and behaviour in social media and produce cognitive models that can replicate human interaction and reactions.
This project contains all the work related to the models created using temporal-causal networks.
