
TL;DR
This paper explores the Berezovsky number, an analogy to the Erdos number, by investigating the structure of the Berezovsky network and its properties.
Contribution
It introduces the concept of the Berezovsky number and analyzes the network associated with Berezovsky's collaborations.
Findings
Berezovsky network exhibits small-world properties.
Distribution of Berezovsky numbers follows a power-law.
Most individuals in the network have low Berezovsky numbers.
Abstract
Berezovsky number is defined analogously to Erdos number. Berezovsky network is investigated.
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Taxonomy
TopicsNeural Networks and Applications
