Table 1.
Socio-spatial node-based attributes in the global city network of firms.
Table 2.
Descriptive statistics illustrating the effects of structural reduction.
Fig 1.
Visual representation of five socio-spatial dimensions explaining dyads in the global city network of firms.
Left: ties belonging only to one type. Right: ties belonging to more than one type. Only links with weight more than 30 are displayed. Node size is proportional to its degree.
Fig 2.
The weight distribution of five types of relations in the global city network of firms.
Left: ties belonging only to one type. Right: ties belonging to more than one type.
Fig 3.
Frequency distribution of different types ties in the global city network of firms.
Fig 4.
The 50 most connected cities in the global city network of firms by type of relations.
Fig 5.
The ego-networks of San Jose, CA and Taipei.
Ties with weights more than five are shown. Labels of cities are shown for ties with weights of 20 and higher.
Table 3.
Results of the ERGM to model the probability of inter-city ties as a function of city characteristics.