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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Environment and Plan...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Flows, Hierarchies, Potentials

Authors: M Sonis;

Flows, Hierarchies, Potentials

Abstract

This work deals with the analysis of interregional flows. The central idea is the decomposition of the origin–destination flow matrix into the additive weighted sum of basic matrices. Each basic matrix represents an extremal flow which optimizes some objective function corresponding to some extremal tendency acting in the real flow. The weight of the extremal flow can be treated as the frequency of the choice of the fixed extremal tendency. The geometrical and algebraic algorithm of the decomposition of the flow matrix is based on the Minkovsky theorem about the center of gravity of convex polyhedra. Its spatial content is Weber's well-known principle of industrial location (in inverted form), and Stouffer's principle of intervening opportunities. Each extremal flow defines the spatially represented hierarchy of the regions of origin and destination. The successive selection of the ‘most probable’ tendencies defines the set of changing hierarchy relationships between the regions. The construction of the successive hierarchies is an elaboration of Nystuen and Dacey's ideas about the use of graph theory in flow theory. The most interesting and important fact is the nonuniqueness of the expansion of the real flow by the shares of extremal tendencies, that is, nonuniqueness of results of analysis. This ensues from the fundamental statement that the analysis depends on the investigator's point of view.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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