Lower court decisions, once deemed not even worthy of reporting, now appear with significant frequency
in citation networks.
To determine if and when scientific consensus had been achieved, Adams systematically
examined citation networks to find shifts in content.
The explanation came from incorporating the rule into agent - based models
representing citation networks, otherwise known as the Ionescu - Chopard (IC) model.
As Thomas Smith observed in Web of Law, the
U.S. citation network is highly skewed, with much of the legal authority concentrated in very few cases and the majority of it «dead.»
To establish the equations governing the growth of
citation networks, they incorporated a rule called the preferential attachment rule.
The Development of Structure in
the Citation Network of the United States Supreme Court — Now in HD!
I'm not sure there's too much to say about the academic work below, other than the fact that if you were a Ph.D. candidate at the University of Michigan, you, too, could be making videos about the «Development of Structure in
the Citation Network of the United States Supreme Court» from 1800 - 1830.
Citation networks are drawn to within three degrees of separation.
It would be incredibly tedious for a lawyer to do this, since it involves scrutinizing
the citation network of every case cited in the brief — which means reviewing thousands of cases in total.
Michael Bommarito, Daniel Martin Katz, Jon Zelner & James Fowler, Distance Measures for Dynamic
Citation Networks, 389 Physica A 4201 (2010).
Term frequency, a measurement of how often a search term is found in a particular document; Term uniqueness, a measure of how specific or unique a search term is; Term proximity, a measure of how close search terms are to one another in a particular document; and Term precedential importance, a measure created from an analysis of
the citation networks between cases.