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From Paths To Networks: The Evolving Science Of Networks

J. Christopher Westland
Published 2015 · Computer Science
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Path models were always a kludge; a hodgepodge of available technologies cobbled together, as best as possible, to make sense of naturally occurring networks. Scientists in the past simply did not possess the analytical power to map more than a few links at a time. PLS-PA, LISREL, and systems of regressions were designed for calculation on paper and with adding machines; they were disappointingly inadequate, but the best we had at the time. Statistical power has always lagged the size and complexity of the networks under analysis, and as a result generated unreliable, simplistic, and inapplicable results. This is doubly unfortunate when we consider how important network models have reigned throughout mankind’s history. For example:
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