Simulations show extreme opinions can lead to polarized groups

In recent years, chaos theory and other forms of computational modeling have sought to leverage findings in the social sciences to better describe—and maybe one day predict—how groups of people behave. One approach looks ...

To predict an epidemic, evolution can't be ignored

When scientists try to predict the spread of something across populations—anything from a coronavirus to misinformation—they use complex mathematical models to do so. Typically, they'll study the first few steps in which ...

From firearms to fish—following patterns to discover causality

Mathematicians have successfully applied a new, pictorial approach to answer complex questions that puzzle analysts, such as, do media stories on firearm legislation influence gun sales? Cause-and-effect queries like this ...

How superstitions spread

Ancient Roman leaders once made decisions about important events, such as when to hold elections or where to build new cities, based on the presence or flight patterns of birds. Builders often omit the thirteenth floor from ...

New music styles driven by direct challenges to elites

A research team led by scientists at the Complexity Science Hub Vienna (CSH) reports that fashion cycles in music are driven by outsider groups. Outsiders challenge the dominant music style by strongly contrasting the preferences ...

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