Network analysis of Sarafu transactions shows modular localized circulation supported by cycles, with disassortative sub-networks, preferential attachment, and central roles for community institutions, early adopters, and women.
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A case study develops a sparse dictionary learning approach to model pediatric asthma exacerbations from multiple risk factors and reports consensus on relative risks across statistical and machine learning models.
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Circulation of a digital community currency
Network analysis of Sarafu transactions shows modular localized circulation supported by cycles, with disassortative sub-networks, preferential attachment, and central roles for community institutions, early adopters, and women.
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Learning to model pediatric asthma exacerbation from multiple risk factors: a case study in coastal Virginia
A case study develops a sparse dictionary learning approach to model pediatric asthma exacerbations from multiple risk factors and reports consensus on relative risks across statistical and machine learning models.