dutch_elite — Dutch administrative elite (2006)

Description

Memberships of persons in the administrative bodies (boards, councils, committees, etc.) of the administrative elite in the Netherlands in April 2006, collected and analyzed by the newspaper de Volkskrant and W. de Nooy for a series of articles on the 200 most influential people in the country, later collected in the book De elite by W. Dekker and B. van Raaij. The networks are bipartite, connecting persons to the administrative bodies of which they are members, with the role of the person in the body. The data were converted into Pajek format by W. de Nooy (2006) and improved by V. Batagelj (2007). The data were distributed in Pajek format on the Pajek datasets page of V. Batagelj and A. Mrvar, from which this version was obtained.

full: the 3810 persons and 937 administrative bodies.
top200: the subnetwork of the 200 most influential persons and the 395 bodies of which they are members.

The networks have the following properties:

Nodes: name, the name of the person or administrative body; is_person, whether the node is a person (otherwise an administrative body); weight (full only; bodies only, 0 for persons), the importance class of the body (1: a point of reference whose chairman belongs to the absolute top of the ranking, 2: other bodies that function as a point of reference to the government, 3: remaining bodies); organisation and mother_organisation (bodies only, 0 for persons), the identifiers of the organization to which the body belongs, and of the mother organization of that organization; domain (bodies only, 0 for persons), the social sector in which the organization is primarily active, categorised by Ministry (1: General Affairs, 2: Foreign Affairs, 3: Defence, 4: Economic Affairs, 5: Finance, 6: Justice, 7: Agriculture and Nature, 8: Education and Science, 9: Culture, 10: Social Affairs, 11: Transport, 12: Health and Welfare, 13: Sports, 14: Spatial Planning and Environment, 15: Interior, 18: Media); task (bodies only, 0 for persons), the primary task of the body (1: advice, 2: administration, 3: management, 4: unknown, 5: other, 6: inspection, 7: representation of the people, 8: arbitration/administration of justice); sex (persons only), the sex of the person ("F" or "M"; empty if unknown, and for bodies); birth_year (persons only, 0 for bodies), the year of birth of the person (-1 if unknown); rank, the position of the person in the Top 200 of the most influential people published by de Volkskrant in 2006 (0 for persons outside the Top 200 and for bodies).
Edges: relation, the code of the role of the person in the body, and role, its name (in Dutch and English; e.g. "Voorzitter/Chairman", "Lid/member", "Directeur/Director"). The codes 52 and 37 are considered equivalent to 29 ("Vennoot/partner") and 34 ("Hoofddirecteur/general manager"), respectively, and are labeled as such.

Tags

Social Affiliation Unweighted Metadata

Citation

W. Dekker, B. van Raaij, "De elite: De Volkskrant Top 200 van invloedrijkste Nederlanders." Meulenhoff, Amsterdam (2006) web.archive.org
W. de Nooy, "Ringen om de macht." In W. Dekker, B. van Raaij, De elite, Meulenhoff, Amsterdam (2006), pp. 85-94 web.archive.org

Upstream URL OK

https://web.archive.org/web/20090309044115/http://vlado.fmf.uni-lj.si/pub/networks/data/2mode/DutchElite.htm

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
full	4,747	5,221	2.20	3.01	4.29	411.00	-0.24	0.00	22	0.76	Undirected	Bipartite	name is_person weight organisation mother_organisation domain task sex birth_year rank	relation role	54 KiB	87 KiB	83 KiB	81 KiB
top200	595	877	2.95	2.27	3.87	15.73	-0.10	0.00	12	0.99	Undirected	Bipartite	name is_person organisation mother_organisation domain task sex birth_year rank	relation role	12 KiB	17 KiB	16 KiB	15 KiB