A paper by Anna Broido and Aaron Clauset claiming that objects with this property “are rare” uses the ICON dataset to classify this property from “super-weak” to “strongest.” Ginestra Biaconi co-developed a model of this property in which it arises from differences in fitness. The mechanism of “preferential attachment,” which is analogous to the Matthew effect, generates this property in the Barabasi–Albert model, in which new (*) vertices form edges with probability proportional to their partner’s degree. A specific form of this property that corresponds to an index of 1 is obeyed by word frequency tables according to Zipf’s law. The network representing the internet and citation graphs are commonly cited to have this property, which corresponds to a line on a log-log plot of degree distribution. For 10 points, name this property of networks that look the same no matter how much you zoom in or out. ■END■
ANSWER: scale-free networks [or power law networks]
<Geoffrey Chen, Social Science>
= Average correct buzz position