• Corpus ID: 4469394

Graphical Techniques for Exploring Social Network Data

@inproceedings{Freeman2001GraphicalTF,
  title={Graphical Techniques for Exploring Social Network Data},
  author={Linton C. Freeman},
  year={2001}
}
To uncover patterns of those kinds, network analysts collect and examine data on actor-to-actor ties. Such data record who is connected to whom and/or how closely they are connected. Typically, the data are organized into square, N-dimensional, N-by-N matrices where the N rows and the N columns both refer to the social actors being studied. Cell entries in these matrices indicate either the presence/absence or the strength of some social relationship linking the row actor to the column actor… 

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  • L. Freeman
  • Computer Science
    Encyclopedia of Complexity and Systems Science
  • 2009
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References

SHOWING 1-10 OF 12 REFERENCES

Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp

A large class of models, including several generalizations of stochastic block models, as well as models parameterizing global tendencies towards clustering and centralization, and individual differences in such tendencies are described and extended.

An Exponential Family of Probability Distributions for Directed Graphs

An exponential family of distributions that can be used for analyzing directed graph data is described, and several special cases are discussed along with some possible substantive interpretations.

The Kinemage: A tool for scientific communication

Part I: Application of the group method to classification.

Metric scaling correspondence analysis

Visualizing Networks with Spring Embedders: Two-Mode and Valued Data

Factors of the Tele: A Preliminary Report

Who Shall Survive?

This is a large and voluminous exposition on Social Psychiatry covering 724 pages and divided into 6 books, by Moreno. He selfstyles it his "Bible of Human Relationships". Any book of necessity