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Social Network Analysis and Mining
Published in:

01-12-2016 | Original Article

Empirical analysis of the Portuguese governments social network

Authors: Nuno Moniz, Francisco Louçã, Márcia Oliveira, Renato Soeiro

Published in: Social Network Analysis and Mining | Issue 1/2016

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Abstract

The Portuguese governmental network comprising all the 776 ministers and junior ministers who were part of the 19 governments between the year 1976 and 2013 is presented and analyzed. The data contain information on connections concerning business and other types of organizations and, to our knowledge, there is no such extensive research in previous literature. Upon the presentation of the data, a social network analysis considering the temporal dimension is performed at three levels of granularity: network-level, subnetwork-level (political groups) and node-level. A discussion based on the results is presented. We conclude that although it fits two of the four preconditions of a small-world model, the Portuguese governmental network is not a small-world network, although presenting an evolution pointing toward becoming one. Also, we use a resilience test to study the evolution of the robustness of the Portuguese governmental network, pinpointing the moment when a set of members became structurally important.
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Footnotes
1
This research was carried out by Nuno Moniz and Adriano Campos.
 
2
This was the year of the first constitutional government after the Carnation Revolution.
 
3
Grupo Mello, Grupo Champalimaud, BES, BCP, Santander, Mota-Engil, PT, BPI, CGD, SONAE, Jerónimo Martins, Américo Amorim.
 
4
The only individual which did not take part of those governments was António de Sousa Franco (PS).
 
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Metadata
Title
Empirical analysis of the Portuguese governments social network
Authors
Nuno Moniz
Francisco Louçã
Márcia Oliveira
Renato Soeiro
Publication date
01-12-2016
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2016
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-016-0348-7

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