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TableĀ 1 Model parameters obtained by an OLS fitting, for (Top) European metropolitan area, (Middle) Latin American metropolitan area, and (Bottom) Northern American metropolitan area

From: Segregated interactions in urban and online space

European
Credit card data set Twitter data set
\(c_{p}\) 0.249 \(c_{t}\) 0.119
\(\beta _{p1}\) 0.762 \(\beta _{t1}\) 0.594
\(\beta _{p2}\) 0.598 \(\beta _{t2}\) 0.541
\(\epsilon _{p}\) 0.233 \(\epsilon _{t}\) 0.029
\(\alpha _{p}\) 0.918 \(\alpha _{t}\) 0.582
Latin American
Credit card data set Twitter data set
\(c_{p}\) 0.231 \(c_{t}\) 0.085
\(\beta _{p1}\) 0.681 \(\beta _{t1}\) 0.493
\(\beta _{p2}\) 0.824 \(\beta _{t2}\) 0.829
\(\epsilon _{p}\) 1.026 \(\epsilon _{t}\) 0.298
\(\alpha _{p}\) 1.058 \(\alpha _{t}\) 0.633
Northern American
Twitter data set
\(c_{t}\) 7.941
\(\beta _{t1}\) 0.276
\(\beta _{t2}\) 0.353
\(\epsilon _{t}\) 0.330
\(\alpha _{t}\) 0.837