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POWER LAW (2) answer(s).
 
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ID:   144803


Between collaboration and disobedience : the behavior of the guantánamo detainees and its consequences / Deutschmann, Emanuel   Article
Deutschmann, Emanuel Article
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Summary/Abstract This article examines the behavior of the Guantánamo detainees in terms of collaboration and disobedience and how it influences their chances of getting a release recommendation. Joint Task Force Guantanamo–authored memoranda on 765 detainees are used to create a network of accusations between detainees and an attribute data set, which are analyzed using multivariate regression and Kolmogorov–Smirnov tests. It is found that while the distribution of incriminating statements obeys a power law, 62.6 percent of all detainees do not incriminate anyone. Yemenis and Saudi Arabians heavily overcontribute regarding incriminating statements and disobedient actions, whereas Afghans and Pakistanis undercontribute. Disobedient behavior does not affect the likelihood of getting a release recommendation, except for hunger striking, which has a negative effect. By releasing information, detainees don’t improve their own chances of getting release recommendations but impair those of the detainees they implicate. Three different groups of detainees are identified whose behavioral patterns seem to follow distinct logics.
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2
ID:   147495


War size distribution: empirical regularities behind conflicts / González-Val, Rafael   Journal Article
González-Val, Rafael Journal Article
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Summary/Abstract This paper analyses the statistical distribution of war sizes. Using a new methodology we find moderate support for a Pareto-type distribution (power law), considering data from different sources (COW and UCDP) and periods. A power law is a plausible model for the size distribution of a pool of all wars and a sample of wars in many years, although the log-normal distribution is a plausible alternative model that we cannot reject. The random growth of conflicts could generate both types of distribution. We study the growth rates of battle deaths and random growth cannot be rejected for most of the distribution, although the results also reveal a clear decreasing pattern; the growth of deaths declines faster if the number of initial deaths is greater.
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