spreading dynamics

Left: Snapshot of a SIS infection on a population of mobile agents the different colors indicate the cluster size, two agents are connected when the infection is transmitted (see video). Right: Simualtion of the spreading of a Bluetooth virus on mobile phones, the voronoi cells represent the coverage area of each mobile phone tower and the colors indicate fraction uf users infected within each cell (see video).

Spreading Dynamics

Social Networks

Human Mobilty

 

Epidemic Spreadings

In this case, we want to create simple models where we can test the impact of specific parameters on an epidemic’s overall behavior. Additionally, we might want to create a software package that accurately depicts the behavior of epidemics as seen in nature. I have provided advances in this field, investigating epidemic spreadings on systems mobile agents [e1, e2]. More recently, we used mobile phone records to incorporate empirical aspects of human movement and communication and provide an understanding of the spreading patterns of mobile phones viruses [e3].

Opinion Dynamics

Herd behavior describes how individuals in a group can act together without planned direction. The term pertains to the behavior of animals in herds, or to human-related activities in events such as stock market bubbles and crashes, sport events, and even everyday decision making and opinion formation. Local interactions between agents can lead to global organization, just like phase transitions are originated by interactions of particles/spins. In this context, using techniques on percolation theory, I have worked on analyzing parliamentary elections and voting behavior in Brazil and India [o1] and used deterministic networks and renormalization techniques to develop analytical expressions that accurately predict the results of the dynamics of opinion models simulated on stochastic networks [o2].