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Academic Collaboration via Resource Contributions: An Egocentric Dataset Cover

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Open Access
|Feb 2020

Figures & Tables

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_

GenderDegreeAlterEgo
FemaleFull professor203
Femalehabilitated PhD115
FemaleMA193
FemalePhD577
MaleFull professor878
Malehabilitated PhD234
MaleMA281
MalePhD639
MA3
PhD1
22
DOI: https://doi.org/10.21307/connections-2019-010 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 1 - 6
Published on: Feb 28, 2020
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Michał Bojanowski, Dominika Czerniawska, Wojciech Fenrich, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.