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Table 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