“实验设计并不存在什么规则。”美国行为分析学家默里·西德曼博士在他的著作《科学研究策略》(Tactics of Scientific Research)中曾这样断言。这一颠覆传统认知的大胆论断因何而起?它又带给单一被试研究领域怎样的启迪?要回答这...“实验设计并不存在什么规则。”美国行为分析学家默里·西德曼博士在他的著作《科学研究策略》(Tactics of Scientific Research)中曾这样断言。这一颠覆传统认知的大胆论断因何而起?它又带给单一被试研究领域怎样的启迪?要回答这些问题,还要从一段历史逸事说起。20世纪六七十年代,应用行为分析横空出世,它选择将单一被试设计作为其主要的研究方法,与以对照组研究为主要研究方法的心理学大相径庭,因此,来自应用心理学界的批评接踵而至,一些应用心理学家声称,使用单一被试设计的研究者没有采用恰当的科学方法。展开更多
There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important f...There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important for efficient network management. In this paper, we construct flow graphs from detailed Internet traffic data collected from the public networks of Internet Service Providers. We analyse the community structures of the flow graph that is naturally formed by different applications. The community size, degree distribution of the community, and community overlap of 10 Internet applications are investigated. We further study the correlations between the communities from different applications. Our results provide deep insights into the behaviour Internet applications and traffic, which is helpful for both network management and user behaviour analysis.展开更多
文摘“实验设计并不存在什么规则。”美国行为分析学家默里·西德曼博士在他的著作《科学研究策略》(Tactics of Scientific Research)中曾这样断言。这一颠覆传统认知的大胆论断因何而起?它又带给单一被试研究领域怎样的启迪?要回答这些问题,还要从一段历史逸事说起。20世纪六七十年代,应用行为分析横空出世,它选择将单一被试设计作为其主要的研究方法,与以对照组研究为主要研究方法的心理学大相径庭,因此,来自应用心理学界的批评接踵而至,一些应用心理学家声称,使用单一被试设计的研究者没有采用恰当的科学方法。
基金supported by the National Natural Science Foundation of Chinaunder Grant No.61171098the Fundamental Research Funds for the Central Universities of Chinathe 111 Project of China under Grant No.B08004
文摘There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important for efficient network management. In this paper, we construct flow graphs from detailed Internet traffic data collected from the public networks of Internet Service Providers. We analyse the community structures of the flow graph that is naturally formed by different applications. The community size, degree distribution of the community, and community overlap of 10 Internet applications are investigated. We further study the correlations between the communities from different applications. Our results provide deep insights into the behaviour Internet applications and traffic, which is helpful for both network management and user behaviour analysis.
