From genes to memes: Algorithm may help scientists demystify complex networks
Algorithm helps study of how relatively simple actions can lead to complex behaviors, from cancer growth to voting patterns
Whether it is how genes that switch on or off can lead to cancers, or votes can turn into complex voting patterns, complex networks are vital to understand, but computationally intense to study. A Penn State-led team of researchers developed an algorithm that makes the study of complex networks more feasible.
Image: Unsplash/National Cancer Institute
From genes to memes: Algorithm may help scientists demystify complex networks
Matt Swayne
July 16, 2021
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New algorithm can be a more effective way to analyze models of biological systems
From biochemical reactions that produce cancers, to the latest memes virally spreading across social media, simple actions can generate complex behaviors. For researchers trying to understand these emergent behaviors, however, the complexity can tax current computational methods.
Now, a team of researchers has developed a new algorithm that can serve as a more effective way to analyze models of biological systems, which in turn allows a new path to understanding the decision-making circuits that make up these systems. The researchers add that the algorithm will help scientists study how relatively simple actions lead to complex behaviors, such as cancer growth and voting patterns.