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Download e-book for iPad: Driving forces in physical, biological and socio-economic by Bertrand M. Roehner

By Bertrand M. Roehner

ISBN-10: 0511284446

ISBN-13: 9780511284441

ISBN-10: 0511285264

ISBN-13: 9780511285264

ISBN-10: 0511286023

ISBN-13: 9780511286025

ISBN-10: 0511286740

ISBN-13: 9780511286742

ISBN-10: 0521859107

ISBN-13: 9780521859103

Multi-disciplinary e-book on community idea for graduate scholars and researchers in sociology and econophysics.

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Read Online or Download Driving forces in physical, biological and socio-economic phenomena : a network science investigation of social bonds and interactions PDF

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Extra resources for Driving forces in physical, biological and socio-economic phenomena : a network science investigation of social bonds and interactions

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For alkanes there is a direct relationship between molecular weight and intermolecular interaction (see Fig. 2b). However, this is not true 100 Water Boiling point (degree Celsius) Ethanol 50 0 Ammonia –50 –100 Alkane (CnH2n+2, linear chain) Isomers –150 Argon –200 10 20 30 40 50 60 70 80 Molecular weight Fig. 2a Boiling point as a function of molecular weight. It is fairly easy to explain why the boiling point is connected with the strength of the molecular attraction, but it is far more difficult to explain this attraction in terms of the characteristics of the molecules.

A supernova and a spinning neutron star have very different signal patterns. Moreover, for binary stars the period is specific to each pair of stars. As there are many other mechanisms which can trigger gravitational waves, it is easy to realize that the number of patterns to search can become very large, making pattern matching a formidable computational task. The second technique relies on using several detectors. As we already noted, microearthquakes or fluctuations in the measurement devices can cause disturbances that simulate gravitational events.

Raising the signal to noise ratio is a crucial challenge for the social sciences. In this chapter we describe three methods for improving signal identification and we illustrate them through specific social phenomena. Before we begin, an additional remark is in order. Signal detection is an important topic in mathematical statistics. Here however, we propose upstream solutions to be used in the design phase of an experiment. Once the data have been recorded the fate of the battle against noise is largely settled.

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Driving forces in physical, biological and socio-economic phenomena : a network science investigation of social bonds and interactions by Bertrand M. Roehner


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