How society organizes affects different phenomena, from the transmission of information to the spread of contagious diseases. The more links we establish with each other via social and transportation networks, the more spread is favored. To study the dynamics of complex systems, such as society, we can infer these networks – in which nodes, representing individuals, connect through lines – from real-world data. However, these networks are usually large, dense, and cumbersome to manipulate.
Simplifying the analysis of social contacts using novel computational method
How society organizes affects different phenomena, from the transmission of information to the spread of contagious diseases. The more links we establish with each other via social and transportation networks, the more spread is favored. To study the dynamics of complex systems, such as society, we can infer these networks – in which nodes, representing individuals, connect through lines – from real-world data. However, these networks are usually large, dense, and cumbersome to manipulate.