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Academic Collaboration via Resource Contributions: An Egocentric Dataset

Michał Bojanowski

Michał Bojanowski

Kozminski UniversityWarsaw, Poland
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Bojanowski, Michał
, 
Dominika Czerniawska

Dominika Czerniawska

University of Manchester, Manchester, UK and University of WarsawWarsaw, Poland
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Czerniawska, Dominika
 e 
Wojciech Fenrich

Wojciech Fenrich

University of WarsawWarsaw, Poland
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Fenrich, Wojciech
  
28 feb 2020
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Pubblicato online: 28 feb 2020
Pagine: 1 - 6
DOI: https://doi.org/10.21307/connections-2019-010
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© 2020 Michal Bojanowski et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1:

Using cork board, pins, and rubber bands to collect data on collaborations. Small cards contained names or nicknames which have been masked.
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.
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.

Figure 3:

Collaboration (dashed, undirected) and resource flow (solid, directed) ties from one of the interviews.
Collaboration (dashed, undirected) and resource flow (solid, directed) ties from one of the interviews.

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 –
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
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