A study of a large sociogram
Systems Research and Behavioral SciencePublished 17 January 2007
Anatol Rapoport, William Horvath
Citations230
SJR quartileQ2
SJR score0.47
SNIP1.02
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Sociometry is concerned with networks of relationship among groups of people. If the group is very large, the work of tracing all the relationships becomes tedious, and the task of describing the resulting net precisely becomes impossible. Here the problem of such large sociometric nets is approached with probabilistic and statistical methods.
Keywords
Physics and Astronomy
Journal Of The Royal Statistical SocietyAn Inquiry into the Nature of Frequency Distributions Representative of Multiple Happenings with Particular Reference to the Occurrence of Multiple Attacks of Disease or of Repeated Accidents
828 Citations1920Major Greenwood, George Yule
Bulletin of Mathematical BiologyConnectivity of random nets
460 Citations1951Ray J. Solomonoff, Anatol Rapoport
Bulletin of Mathematical BiologySpread of information through a population with socio-structural bias: I. Assumption of transitivity
404 Citations1953Anatol Rapoport
Bulletin of Mathematical BiologyContribution to the theory of random and biased nets
230 Citations1957Anatol Rapoport
The probabilistic theory of random and biased nets is further developed by the “tracing” method and a number of biases expected to be operating in nets, particularly in sociograms, is described.
Bulletin of Mathematical BiologyNets with distance bias
60 Citations1951Anatol Rapoport
The probability that there exists a path from a given point in the net to another point is now a function of both the axone density and the distance between the points, and a recursion formula is derived in terms of which this probability can be computed.
