The peer-to-peer（P2P） file-sharing network as a vehicle of disseminating files has become very popular. The appearance of dozens of kinds of passive worms on this network has, however, made it unsecured. This proble...The peer-to-peer（P2P） file-sharing network as a vehicle of disseminating files has become very popular. The appearance of dozens of kinds of passive worms on this network has, however, made it unsecured. This problem has been paid attention and a few of models for passive worm propagation has been presented. Unfortunately, the dynamic properties of this network are ignored in these models. Given the fact, the characteristics of both this network and the passive worm are identified, and on this basis a new mathematical model of passive worm propagation on the P2P network is presented in applying epidemiology in this paper. Note that the dynamic properties of this network are considered in the presented model. The model has been validated by large scale simulation experiments, which demonstrates that the presented model may be used for analyzing the behaviors of passive worms and predicting the trend of their propagation.展开更多
The aim of this paper is to investigate how the social environment, composed also by social networks, influences health and what the role is. There is a reciprocal influence on that relation： as the networks can infl...The aim of this paper is to investigate how the social environment, composed also by social networks, influences health and what the role is. There is a reciprocal influence on that relation： as the networks can influence health, the health of a person contributes to networking with special features （may be groups of self-help from trained individuals with the same health problem）. Social networks have health effects, creating social support, access to health resources and social participation on welfare issues. Informal play a fundamental role in social support of people with little or no support systems. We must not, therefore, forget the importance that networks have to offer an effective social support by providing, for example, the needed caregivers, especially in the case of the chronically ill. An overall analysis is appropriate in addition to having a look at sociological type, and also considers epidemiological data. It＇s what we do in our text. By integrating sociological aspects with ones purely epidemiological, we attempt to show how social networks have an effective role in the social determinants of health. This paper will try to develop the topic with a multi-disciplinary approach focusing on the integration of the two disciplines.展开更多
Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrl...Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrlic occurs is calculated. Epidemiological processes are analyzed when the infection probability is larger than the percolation threshold. Although different epidemiological processes occur on the underlying tree topology, the number of infected nodes increases exponentially as the infection spreads. The uniform immunization procedure is conducted in the homogeneous small-world network. The infection still extends exponentially Mthough the immunization effectively reduces the prevalence speed.展开更多
文摘The peer-to-peer（P2P） file-sharing network as a vehicle of disseminating files has become very popular. The appearance of dozens of kinds of passive worms on this network has, however, made it unsecured. This problem has been paid attention and a few of models for passive worm propagation has been presented. Unfortunately, the dynamic properties of this network are ignored in these models. Given the fact, the characteristics of both this network and the passive worm are identified, and on this basis a new mathematical model of passive worm propagation on the P2P network is presented in applying epidemiology in this paper. Note that the dynamic properties of this network are considered in the presented model. The model has been validated by large scale simulation experiments, which demonstrates that the presented model may be used for analyzing the behaviors of passive worms and predicting the trend of their propagation.
文摘The aim of this paper is to investigate how the social environment, composed also by social networks, influences health and what the role is. There is a reciprocal influence on that relation： as the networks can influence health, the health of a person contributes to networking with special features （may be groups of self-help from trained individuals with the same health problem）. Social networks have health effects, creating social support, access to health resources and social participation on welfare issues. Informal play a fundamental role in social support of people with little or no support systems. We must not, therefore, forget the importance that networks have to offer an effective social support by providing, for example, the needed caregivers, especially in the case of the chronically ill. An overall analysis is appropriate in addition to having a look at sociological type, and also considers epidemiological data. It＇s what we do in our text. By integrating sociological aspects with ones purely epidemiological, we attempt to show how social networks have an effective role in the social determinants of health. This paper will try to develop the topic with a multi-disciplinary approach focusing on the integration of the two disciplines.
基金supported by the National Natural Science Foundation of China under Grant No.61203144the General Financial Grant from the China Postdoctoral Science Foundation under Grant No.2013M540869the Open Fund of Guangdong Provincial Digital Signal and Image Processing Technologies Key Laboratory under Grant No.2013GDDSIPL-06
文摘Due to link additions, small world phenomena exist in tree-based wireless sensor networks. Epidemics on small worlds of tree-based networks are studied, and the epidemic threshold at which the outbreak of the epideIrlic occurs is calculated. Epidemiological processes are analyzed when the infection probability is larger than the percolation threshold. Although different epidemiological processes occur on the underlying tree topology, the number of infected nodes increases exponentially as the infection spreads. The uniform immunization procedure is conducted in the homogeneous small-world network. The infection still extends exponentially Mthough the immunization effectively reduces the prevalence speed.
