Event correlation is one key technique in network fault management. For the event sample acquisition problem in event correlation, a novel approach is proposed to collect the samples by constructing network simulation...Event correlation is one key technique in network fault management. For the event sample acquisition problem in event correlation, a novel approach is proposed to collect the samples by constructing network simulation platform. The platform designed can set kinds of network faults according to user's demand and generate a lot of network fault events, which will benefit the research on efficient event correlation techniques.展开更多
In the analysis of competing risk data, the observed effect of a covariate can be obtained via a Fine and Gray sub-distribution hazard ratio. Sometimes, it is also desirable to obtain the virtual effect of a covariate...In the analysis of competing risk data, the observed effect of a covariate can be obtained via a Fine and Gray sub-distribution hazard ratio. Sometimes, it is also desirable to obtain the virtual effect of a covariate as if the competing risks were non-existent. Under the latent failure time scenario, when the event of interest and the competing risk event are independent, the cause-specific hazard ratio obtained from the Cox model where the competing events are censored represents the ratio of the marginal hazards and can be interpreted as the virtual effect of the covariate. However, when the two events are not independent, the cause-specific hazard ratio is not the ratio of the marginal hazards as the ratio depends not only on the marginal hazards but also on the correlation between the competing risk and the event of interest. Using simulation, we investigated the degree to which the cause-specific hazard ratio changes relative to the marginal hazard with this correlation. It was found that the discrepancy between the cause-specific hazard ratio and the theoretical marginal hazard ratio increased as the proportion of competing risk events and the correlation between the events increased （〉0.2）. Depending on the direction of the correlation, the cause-specific hazard ratio can over- or under-estimate the marginal hazard ratio. Using real-life datasets, we show how these results can be used to make inferences on the virtual effects.展开更多
The complexity of online narratives and their important influence on events,attitudes,and emotions in society make visible certain limitations in the explication of such narratives found in traditional narrative theor...The complexity of online narratives and their important influence on events,attitudes,and emotions in society make visible certain limitations in the explication of such narratives found in traditional narrative theory.Their generative mechanism provides the logical starting point for understanding online communication.Event correlatives,text assemblage and specific texts,as the organic structure of online narratives,shape the intertextual existence and dynamic accumulation of the online text.A universal multidirectional co-construction forms around event correlatives and between specific texts and the pre-text,post-text and synchronous text within the text assemblage,while the textual object,the communicating subject and the online group communication context together build up the interpretive system of online narrative meanings.The generative mechanism and vitality of online narratives not only provide guarantees for the active nature of online communication,but also become a huge variable in social development,profoundly influencing social communication and even our way of thinking.展开更多
基金the National Natural Science Foundation of China(69983 0 0 5 )
文摘Event correlation is one key technique in network fault management. For the event sample acquisition problem in event correlation, a novel approach is proposed to collect the samples by constructing network simulation platform. The platform designed can set kinds of network faults according to user's demand and generate a lot of network fault events, which will benefit the research on efficient event correlation techniques.
文摘In the analysis of competing risk data, the observed effect of a covariate can be obtained via a Fine and Gray sub-distribution hazard ratio. Sometimes, it is also desirable to obtain the virtual effect of a covariate as if the competing risks were non-existent. Under the latent failure time scenario, when the event of interest and the competing risk event are independent, the cause-specific hazard ratio obtained from the Cox model where the competing events are censored represents the ratio of the marginal hazards and can be interpreted as the virtual effect of the covariate. However, when the two events are not independent, the cause-specific hazard ratio is not the ratio of the marginal hazards as the ratio depends not only on the marginal hazards but also on the correlation between the competing risk and the event of interest. Using simulation, we investigated the degree to which the cause-specific hazard ratio changes relative to the marginal hazard with this correlation. It was found that the discrepancy between the cause-specific hazard ratio and the theoretical marginal hazard ratio increased as the proportion of competing risk events and the correlation between the events increased （〉0.2）. Depending on the direction of the correlation, the cause-specific hazard ratio can over- or under-estimate the marginal hazard ratio. Using real-life datasets, we show how these results can be used to make inferences on the virtual effects.
文摘The complexity of online narratives and their important influence on events,attitudes,and emotions in society make visible certain limitations in the explication of such narratives found in traditional narrative theory.Their generative mechanism provides the logical starting point for understanding online communication.Event correlatives,text assemblage and specific texts,as the organic structure of online narratives,shape the intertextual existence and dynamic accumulation of the online text.A universal multidirectional co-construction forms around event correlatives and between specific texts and the pre-text,post-text and synchronous text within the text assemblage,while the textual object,the communicating subject and the online group communication context together build up the interpretive system of online narrative meanings.The generative mechanism and vitality of online narratives not only provide guarantees for the active nature of online communication,but also become a huge variable in social development,profoundly influencing social communication and even our way of thinking.
