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Dynamical properties of volume at the spread in the Bitcoin/USD market
Most studies have been focused on the bulk properties of volume of incoming orders or of realized transactions rather than the dynamical aspects.
A machine learning model to identify corruption in México's public procurement contracts
The costs and impacts of government corruption range from impairing a country's economic growth to affecting its citizens' well-being and safety.
Universal and non-universal text statistics: Clustering coefficient for language identification
In this work we analyze statistical properties of 91 relatively small texts in 7 different languages (Spanish, English, French, German, Turkish, Russian, Icelandic) as well as texts with randomly inserted spaces.
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