1940
DOI: 10.2307/2785439
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A Method for Depicting Social Relationships Obtained by Sociometric Testing

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Cited by 73 publications
(39 citation statements)
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“…The sociometric group structure is examined using one or more of three possible tools: sociograms, sociometric matrices, or sociometric indices (Lindzey & Byrne, 1968). In sociograms the choice data are displayed as target diagrams where people are represented as circles and choices are expressed by arrows or different types of lines (Northway, 1940). There are three types of choices: one-way, two-way (i.e., reciprocal), and no choice.…”
Section: Sociometry As the Study And Measurement Of Social Choicementioning
confidence: 99%
“…The sociometric group structure is examined using one or more of three possible tools: sociograms, sociometric matrices, or sociometric indices (Lindzey & Byrne, 1968). In sociograms the choice data are displayed as target diagrams where people are represented as circles and choices are expressed by arrows or different types of lines (Northway, 1940). There are three types of choices: one-way, two-way (i.e., reciprocal), and no choice.…”
Section: Sociometry As the Study And Measurement Of Social Choicementioning
confidence: 99%
“…First, arrow diagrams were drawn in which the most central actors were placed in the middle of the sheet and the researcher tried to reduce the number of cross-cutting connections as far as possible to achieve the best visual clarity. This idea was extended by Northway (1940), who introduced a variation in which nodes were grouped according to their centrality and then placed on concentric circles. The less central a node the farther outside it is placed (Klovdahl, 1981: 200).…”
Section: A Short History Of Network Visualizationmentioning
confidence: 99%
“…Radial layouts are a popular visualization tool (see [7] for a recent survey); early examples of radial graph layouts can be found in the literature on sociometry [13]. Bachmaier, Brandenburg and Forster [1] showed that radial planarity can be tested, and an embedding can be found, in linear time.…”
Section: Introductionmentioning
confidence: 99%