korea_family_planning — Family planning in Korean villages (1973)
- Description
Communication networks about family planning among women in two Korean villages, from the study of E. M. Rogers and D. L. Kincaid on the diffusion of family planning methods in Korean villages, which were surveyed in 1973. An edge connects two women who discussed family planning with each other. 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. (The background text on the dataset page of the Pajek site erroneously repeats the description of the sawmill dataset.)1
village1: the network of 39 women in the first village (Korea1.net).village2: the network of 39 women in the second village (Korea2.net).
The networks have the following properties:
- Nodes:
name, the identifier of the woman in the original study;adopter, whether the woman adopted family planning methods (at least temporarily);club_member, whether the woman was a member of the local Mothers' Club.
- Tags
- Social Offline Unweighted Metadata
- Citation
-
- E. M. Rogers, D. L. Kincaid, "Communication Networks: Toward a New Paradigm for Research." Free Press, New York (1981) 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/20040706122643/http://vlado.fmf.uni-lj.si/pub/networks/data/esna/korea.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 village1 39 69 3.54 2.94 5.36 30.87 0.01 0.38 7 0.85 Undirected Unipartite name adopter club_member 1 KiB 1 KiB 1 KiB 1 KiB village2 39 84 4.31 3.11 6.10 18.40 0.20 0.40 10 0.90 Undirected Unipartite name adopter club_member 1 KiB 1 KiB 1 KiB 1 KiB