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Making Social Sciences More ScientificThe Need for Predictive Models$
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Rein Taagepera

Print publication date: 2008

Print ISBN-13: 9780199534661

Published to Oxford Scholarship Online: September 2008

DOI: 10.1093/acprof:oso/9780199534661.001.0001

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Beyond Constraint‐Based Models: Communication Channels and Growth Rates

Beyond Constraint‐Based Models: Communication Channels and Growth Rates

(p.139) 11 Beyond Constraint‐Based Models: Communication Channels and Growth Rates
Making Social Sciences More Scientific

Rein Taagepera (Contributor Webpage)

Oxford University Press

The number of communication channels may well turn out to be a major building block in constructing quantitatively predictive logical models in social sciences. This number does determine representative assembly sizes and mean durations of cabinets. Some physical and social processes involve minimization or maximization of some quantities. Models for various processes can be formulated as differential equations, especially those that express rates of change in time, space, etc. Quantities that are conserved during changes play an important role in physics and might do so in social sciences.

Keywords:   assembly sizes, cabinet duration, communication channels, conserved quantities, minimization and maximization, quantitatively predictive logical models, rates of change

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