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Showing papers on "Katz centrality published in 1993"


01 Jan 1993
TL;DR: In the paper an introduction to main social networks centrality measures is given, a new view on these measures is proposed, based on relational algebra, which is implemented in computer programs CENTRAL and FLOWIND.
Abstract: In the paper an introduction to main social networks centrality measures is given. A new view on these measures is proposed, based on relational algebra . All described measures are implemented in computer programs CENTRAL and FLOWIND.

1,044 citations


01 Jan 1993
TL;DR: In this article, the authors measured the influence of actors in a small homogeneous network of twelve members and advisers of the Student Government of the University of Ljubljana in May 1992 by two similar questions and each of them by two methods: recall and recognition.
Abstract: In a survey a (complete) social network can be measured in manydifferent ways: different types of questions can be formu- lated, different methods for naming related actors can be used . In this process measurement errors are present . Different measurement instruments can produce more or less different measured social networks . Some studies (Holland and Leinhardt 1973 ; Sudman 1985, 1988 ; Hlebec 1993) has shown that the recognition produces a richer network than the recall . The effect of question wording and methods of naming related actors on the results should be studied more systematically also in the field of social network analysis as measurement errors can effect the structure of a network significantly . In the paper the communication flow in a small homogeneous network of twelve members and advisers of the Student Government of the University of Ljubljana in May 1992 was measured by two similar questions and each of them by two methods : recall and recognition . The effect of four types of measurement instruments on estimation of prominence or influence of actors in the network is studied . Actor prominence was measured by sixcentrality indices : in-degree point centrality indices, in-closeness global centrality indices (Sabidussi 1966), and Freeman's betweenness index (1979) . These indices are based on geodesic paths . The most interesting findings of this study are: The more complex centrality indices (e.g.,betweenness indices) are more effected by measurement errors than the simpler centrality indices (e.g.,degree indices) . The more central or prominent the actors are in the network, with less errors they are listed by the other actors

2 citations