G. & Rice, R.E. (1985). Longitudinal non-Euclidean networks:
Galileo. Social Networks, 7(4), 287-322.
This article discusses the theoretical utility of using a
spatial manifold when describing social networks. It proposes that a
of metric MDS, the Galileo System, can be particularly useful in
social networks and their changes over time, partially because it does
not impose Euclidean assumptions on the data. Two sets of longitudinal
network data are examined with Galileo. One is the American air traffic
network from 1968-81. The other is ten groups engaged in a computer
over a 24 month period. In both cases, the results indicate that a
spatial manifold is required to describe the network structure.
theoretically valid results based upon the non-Euclidean components of
spatial manifold are obtained. Further, they could be readily explained
by exogenous factors. The implications of these results for network
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