arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1507.02445physics.soc-ph
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社会不平等:从数据到统计物理建模

Social inequality: from data to statistical physics modeling

Arnab Chatterjee, Asim Ghosh, Jun-ichi Inoue, Bikas K. Chakrabarti

摘要:

社会不平等是一个有趣的话题,因为年龄,并吸引了跨学科的研究人员思考它的起源,表现,特点,后果,最后,如何应对它的问题。它表现在人类存在的不同阶层,并以多种方式量化。在这篇综述中,我们讨论了社会不平等的起源,历史和常用的非熵的措施,如洛伦兹曲线,基尼指数和最近推出的$k$指数。我们还讨论了一些有助于理解和表征它们的分析工具。最后,我们讨论了统计物理建模如何帮助再现结果和解释它们。

英文摘要:

Social inequality is a topic of interest since ages, and has attracted researchers across disciplines to ponder over it origin, manifestation, characteristics, consequences, and finally, the question of how to cope with it. It is manifested across different strata of human existence, and is quantified in several ways. In this review we discuss the origins of social inequality, the historical and commonly used non-entropic measures such as Lorenz curve, Gini index and the recently introduced $k$ index. We also discuss some analytical tools that aid in understanding and characterizing them. Finally, we argue how statistical physics modeling helps in reproducing the results and interpreting them.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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