Frank Harary became a math instructor at the University of
Michigan in 1948 having journeyed from an interest in theoretical physics
towards pure mathematics. As he was promoted through the ranks of professorship
his research interest kept shifting and in addition to his position in the
Department of Mathematics, Harary took on a research associate role in the
Institute of Social Research in 1950 joining Leon Festinger and Doriwn
Cartwright who had moved part of Kurt Lewin’s original research center to
Michigan from MIT.
An international authority in graph theory, Harary grew
increasingly interested in applying graph theory to social relations and
structural concepts. Together with Cartwright he authored a key paper on the
uses of graph theory for expanding upon Heider’s theory of balance (Cartwright
and Harary, 1956). Cartwright and Harary used graph theory to develop a
generalization of Heider's theory of balance with the help of concepts from the
mathematical theory of linear graphs.
They translated Heider’s diagrams and
language into graph theoretic terms and summarized them visually. They thus
were able to make key alterations and extensions to balance theory - Heider's
theory was originally intended to refer only to cognitive structures of an
individual person while Harary and Cartwright proposed that the definition of
balance may be used generally in describing configurations of many different
sorts, such as communication networks, power systems, sociometric structures,
systems of orientations, or perhaps neural networks - and thus contributed
important early advances to the field of SNA.
The use of graph theory for
developing formal definitions for concepts such as cliques, centrality and
balance resulted in significant early progress in SNA on both theoretical and
methodological grounds.
Entry is based on Prell "Social Network Analysis" and Cartwright and Harary "Structural balance: a generalization of Heider's theory"
1 comment:
You capture the essence of Harary's contribution nicely in the last paragraph. That's really all that's needed in a blog post.
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