Have a personal or library account? Click to login
A Visual Data Collection Method: German Local Parties and Associations Cover

A Visual Data Collection Method: German Local Parties and Associations

Connections
Volume 37 (2017): Issue 1-2 (January 2017)
By: Isabelle Borucki  
Open Access
|Jun 2018

Figures & Tables

Figure 1

Visualization example of the operationalization Source: Collection, calculation and figure by the author
Visualization example of the operationalization Source: Collection, calculation and figure by the author

Comparison of the mean value for size, density, EI-index and subgraphs

FunctionSizeDensityEI-index via sector affiliationNumber of subgraphs
party (n=21)mean24.9500.12870−0.12252021.380
SD  9.8970.125270.58879213.261
association (n=12)mean23.6700.25010−0.24550023.000
SD12.2720.381820.69631213.423
total (n=33)mean24.4800.17280−0.16724021.970
SD10.6480.251870.62205213.133
significance (n=26)t  0.5990.080000.775000  0.489
squared eta (n=26)ŋ2  0.0120.004000.001000  0.210
DOI: https://doi.org/10.21307/connections-2017-003 | Journal eISSN: 2816-4245 | Journal ISSN: 0226-1766
Journal RSS Feed
Language: English
Page range: 45 - 52
Published on: Jun 4, 2018
Published by: International Network for Social Network Analysis (INSNA)
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
Social sciences,
Social sciences, other

© 2018 Isabelle Borucki, published by International Network for Social Network Analysis (INSNA)
This work is licensed under the Creative Commons Attribution 4.0 License.

Previous articleVolume 37 (2017): Issue 1-2 (January 2017)Next article