karate — Zachary Karate Club
- Description
Network of social ties among the 34 members of a university karate club in the United States, observed by the anthropologist W. W. Zachary from 1970 to 1972. An undirected edge connects two members who consistently interacted outside the activities of the club. During the observation period, a conflict between the club's instructor ("Mr. Hi", node 1) and its administrator (node 34) led the club to split into two.
There are two versions of the network, due to an inconsistency in the adjacency matrix published by Zachary, which is not symmetric for the pair of members 23 and 34:
77has 77 edges and omits the edge between them, while78has 78 edges and includes it. The 78-edge version is the one most commonly used.The networks have the following properties:
- (Node)
name: the member's number, as in the original study (1 to 34). - (Node)
groups: the faction to which the member belonged after the split, as given in the data distributed by A. Clauset: 1 for the instructor's faction (node 1), 2 for the administrator's (node 34).
- (Node)
- Tags
- Social Offline Unweighted
- Added
- 2020-08-11
- Citation
-
- W. W. Zachary, "An information flow model for conflict and fission in small groups." Journal of Anthropological Research 33, 452-473 (1977). 10.1086/jar.33.4.3629752 Sci-Hub
- Upstream URL OK
- https://aaronclauset.github.io/datacode.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 77 34 77 4.53 3.75 5.25 6.98 -0.47 0.26 5 1.00 Undirected Unipartite name groups 1 KiB 2 KiB 1 KiB 1 KiB 78 34 78 4.59 3.82 5.29 7.05 -0.48 0.26 5 1.00 Undirected Unipartite name groups 1 KiB 2 KiB 1 KiB 1 KiB - Ridiculograms*