信息与复杂性理论在民意调查中的应用。希腊案例（2004-2007年）
Application of information and complexity theories to public opinion polls. The case of Greece (2004-2007)
摘要：
概述了一种受信息和复杂性理论启发的研究公众舆论的一般方法。它基于从民意调查中提取的概率数据。它给出了希腊总理康斯坦丁诺斯·卡拉曼利斯先生（2004-2007）的高工作认可度的定量信息理论解释，而Metron分析公司进行的相同时间序列民意调查显示，他的政党新民主党（简称新民主党）。ND）的支持率略高于泛希腊社会主义运动党（PASOK）的反对党--该党领导人帕潘德里欧。可以看出，同样的数学模型适用于1998年1月和1999年2月之间的克林顿总统的受欢迎程度的情况下，根据以前的研究，虽然目前的工作扩展调查的概念，复杂性和费舍尔信息，量化组织的民意数据。
英文摘要：
A general methodology to study public opinion inspired from information and complexity theories is outlined. It is based on probabilistic data extracted from opinion polls. It gives a quantitative information-theoretic explanation of high job approval of Greek Prime Minister Mr. Constantinos Karamanlis (2004-2007), while the same time series of polls conducted by the company Metron Analysis showed that his party New Democracy (abbr. ND) was slightly higher than the opposition party of PASOK -party leader Mr. George Papandreou. It is seen that the same mathematical model applies to the case of the popularity of President Clinton between January 1998 and February 1999, according to a previous study, although the present work extends the investigation to concepts as complexity and Fisher information, quantifying the organization of public opinion data.
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