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Fractals Beyond Hierarchy—Analyzing the Temporal Patterns of Contact Networks in a French Public Sector Organization Cover

Fractals Beyond Hierarchy—Analyzing the Temporal Patterns of Contact Networks in a French Public Sector Organization

By: Timo Damm  
Open Access
|May 2024

Figures & Tables

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Appendix 1A:

InVS contact network. InVS, Institut de Veille Sanitaire
InVS contact network. InVS, Institut de Veille Sanitaire

Appendix 1B:

DMI department contact network
DMI department contact network

Appendix 1C:

DISQ department contact network
DISQ department contact network

Appendix 1D:

DSE department contact network.
DSE department contact network.

Descriptive network statistics_

InVSDepartments
DMIDISQDSE
Network size217561832
Network density0.090.220.450.29
Average degree39.3925.0715.3318.13
Maximum degree84411729
Clustering coefficient0.360.560.920.71
Size of largest Component217561832
% of largest component100100100100
DOI: https://doi.org/10.21307/connections-2019.035 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Language: English
Page range: 150 - 164
Published on: May 29, 2024
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Timo Damm, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.