flying_teams — Flying teams of cadet pilots (1943)
- Description
Sociometric choices among 48 cadet pilots at a US Army Air Forces flying school in 1943, collected by L. D. Zeleny. The cadets were trained to fly a two-seated aircraft, taking turns in flying and aerial observing, and had been assigned at random to eight instruction groups of 5 to 7 members. Zeleny asked each cadet to name the members of his flight group with whom he would like to fly, as well as those with whom he would not like to fly, in order to improve the composition of the instruction groups. A directed edge points from the cadet making the choice to the chosen one, and is positive or negative. One edge appears twice in the source. The data were distributed on the Pajek datasets page of the book Exploratory Social Network Analysis with Pajek (de Nooy, Mrvar and Batagelj), from which this version was obtained.1
The network has the following properties:
- Nodes:
name, the identifier of the cadet;group, the original (alphabetical) instruction group of the cadet (1 to 8). - Edges:
sign, 1 if the chosen cadet qualifies as a flying partner, -1 otherwise.
- Nodes:
- Tags
- Social Offline Signed Metadata
- Citation
-
- L. D. Zeleny, "Adaptation of research findings in social leadership to college classroom procedures." In J. L. Moreno et al. (eds.), The Sociometry Reader, The Free Press, Glencoe, Illinois (1960), pp. 534-547 web.archive.org
- W. de Nooy, A. Mrvar, V. Batagelj, "Exploratory Social Network Analysis with Pajek." Cambridge University Press (2005) 10.1017/CBO9780511806452 Sci-Hub
- Upstream URL OK
- https://web.archive.org/web/20040706122614/http://vlado.fmf.uni-lj.si/pub/networks/data/esna/flying.htm
- Networks
-
Tip: hover over a column header 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