fifa_committees — FIFA standing committees (2006, 2015)
- Description
Networks of co-membership in the standing committees of FIFA, the international governing body of association football, in 2006 and in 2015, reconstructed by Gemma Edwards (University of Manchester) from FIFA activity reports, as examples of "overt networks with covert elements". Nodes are committee members (vertex property
name), and an edge connects two members who sat on the same standing committee, with the edge propertyweightgiving the number of committees they shared. The networks are one-mode projections of person-committee memberships. Data distributed by the UCINET datasets collection (University of Manchester).1
-
Description obtained in part from the UCINET datasets page. ↩
-
- Tags
- Social Affiliation Weighted Projection
- Citation
-
- G. Edwards, "FIFA networks." UCINET datasets, University of Manchester (2015) sites.google.com
- Upstream URL OK
- https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/fifa
- 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 2006 340 3,328 19.58 12.94 33.13 49.18 0.22 0.67 4 0.90 Undirected Unipartite name weight 6 KiB 15 KiB 14 KiB 13 KiB 2015 450 5,022 22.32 13.87 34.13 39.91 0.12 0.65 4 0.92 Undirected Unipartite name weight 8 KiB 21 KiB 20 KiB 19 KiB