Figure 1:
Using cork board, pins, and rubber bands to collect data on collaborations. Small cards contained names or nicknames which have been masked.
Figure 2:
The data consist of three interrelated tables. Table ‘nodes’ contains information about all persons. Table ‘collaboration’ is an edgelist of collaboration ties. Table ‘resources’ is a multiplex edgelist of resource flows.
Table 1.
Frequencies of gender and scientific degree for egos and alters. Symbol ‘–’(dash) corresponds to missing data.
| Gender | Degree | Alter | Ego |
|---|---|---|---|
| Female | Full professor | 20 | 3 |
| Female | habilitated PhD | 11 | 5 |
| Female | MA | 19 | 3 |
| Female | PhD | 57 | 7 |
| Male | Full professor | 87 | 8 |
| Male | habilitated PhD | 23 | 4 |
| Male | MA | 28 | 1 |
| Male | PhD | 63 | 9 |
| – | MA | 3 | – |
| – | PhD | 1 | – |
| – | – | 22 | – |
Figure 3:
Collaboration (dashed, undirected) and resource flow (solid, directed) ties from one of the interviews.