G-1SJKT B&K Technical rankings
Last updated: 1 Mar 2017
Included in collections
- Collection Networks
Files
Properties
- Order34
- Size0
- Minimum degree66
- Maximum degree66
- Diameter1
- Clique number7
- Connectedtrue
- Arcs1122.0
- File size16
- Average degree66.0
- Strong components1
- Weak components1
- Modes1
- Temporalfalse
- Multirelationalfalse
- Directeddirected
- Realtrue
- Genealogyfalse
- Multiple linesfalse
- Weightedtrue
- Minimum weight1.0
- Maximum weight36.0
- Loopsfalse
This network bases on a 34x34 symmetric and valued matrix representing the recalled (self-reported) interactions between 34 members of the technical research group at a West Virginia university. It is one of the two parts of the Bernard & Killworth Technical data (BKTECC).
Background:
Bernard & Killworth, later with the help of Sailer, collected five sets of data on human interactions in bounded groups and on the actors' ability to recall those interactions. In each study they obtained measures of social interaction among all actors, and ranking data based on the subjects' memory of those interactions.
These data concern interactions in a technical research group at a West Virginia university. BKTECB contains a frequency record of interactions, made by an observer every half-hour during one five-day work week. BKTECC contains the personal rankings of the remembered frequency of interactions in the same period.
Network image:
The colors of the edges are part of a grayscale gradient representing the frequency of interactions between actors, from the brightest (representing the least amount of interactions) to darkest (representing the most amount of interactions).
References:
- Killworth B and Bernard H. (1976). Informant accuracy in social network data. Human Organization, 35, 269-286.
- Bernard H and Killworth P. (1977). Informant accuracy in social network data II. Human Communication Research, 4, 3-18.
- Killworth P and Bernard H. (1979). Informant accuracy in social network data III. Social Networks, 2, 19-46.