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(Image: Jean-Gabriel Young)
January 25, 2021
Two family members test positive for COVID-19 how do we know who infected whom? In a perfect world, network science could provide a probable answer to such questions. It could also tell archaeologists how a shard of Greek pottery came to be found in Egypt, or help evolutionary biologists understand how a long-extinct ancestor metabolized proteins.
As the world is, scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new paper published in
Physical Review Letters offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models.