This research looks at the characteristics of social networks of rural people in different careers and income conditions.The study also investigates information exchange amongst rural people.The aim of this research i...This research looks at the characteristics of social networks of rural people in different careers and income conditions.The study also investigates information exchange amongst rural people.The aim of this research is to analyze social networks’implication in the information exchange of rural people in China.Design/methodology/approach:The field work investigation of this study is a questionnaire survey of the egocentric social networks of 660 rural people in China.The characteristics of social networks are revealed through social network analysis(SNA).Findings:Analysis of quantitative date indicates that the social networks of Chinese rural people are small sized,filled with very strong ties and characterized by high-homogeneity.These characteristics limit the exchange of useful and new information.Research limitations:This survey was taken on a small scale of respondents.It did not focus on the information poverty issue,though the results indicate that a strong information divide exists amongst rural people.Practical implications:The social networks of rural people are viewed as their main information exchange channel on the one hand;however on the other hand,they does play a negative role in ameliorating information poverty.Through these social networks,rural people with different educational backgrounds and income levels suffer the information divide.Originality/value:This research focuses on the seven kinds of information which are crucial in rural people’s living and productivity.The connection between the characteristics of social networks and information exchange are revealed.展开更多
The key exchange is a fundamental building block in the cryptography. Several provable security models for the key exchange protocol are proposed. To determine the exact properties required by the protocols, a single ...The key exchange is a fundamental building block in the cryptography. Several provable security models for the key exchange protocol are proposed. To determine the exact properties required by the protocols, a single unified security model is essential, The eCK , eCK and CK models are examined and the result is proved that the eCK＇ model is the strongest provable security model for the key exchange. The relative security strength among these models is analyzed. To support the implication or non-implication relations among these models, the formal proofs and the counter-examples are given.展开更多
Projection is a widely used method in bipartite networks. However, each projection has a specific application scenario and differs in the forms of mapping for bipartite networks. In this paper, inspired by the network...Projection is a widely used method in bipartite networks. However, each projection has a specific application scenario and differs in the forms of mapping for bipartite networks. In this paper, inspired by the network-based information exchange dynamics, we propose a uniform framework of projection. Subsequently, an information exchange rate projection based on the nature of community structures of a network （named IERCP） is designed to detect community structures of bipartite networks. Results from the synthetic and real-world networks show that the IERCP algorithm has higher performance compared with the other projection methods. It suggests that the IERCP may extract more information hidden in bipartite networks and minimize information loss.展开更多
文摘This research looks at the characteristics of social networks of rural people in different careers and income conditions.The study also investigates information exchange amongst rural people.The aim of this research is to analyze social networks’implication in the information exchange of rural people in China.Design/methodology/approach:The field work investigation of this study is a questionnaire survey of the egocentric social networks of 660 rural people in China.The characteristics of social networks are revealed through social network analysis(SNA).Findings:Analysis of quantitative date indicates that the social networks of Chinese rural people are small sized,filled with very strong ties and characterized by high-homogeneity.These characteristics limit the exchange of useful and new information.Research limitations:This survey was taken on a small scale of respondents.It did not focus on the information poverty issue,though the results indicate that a strong information divide exists amongst rural people.Practical implications:The social networks of rural people are viewed as their main information exchange channel on the one hand;however on the other hand,they does play a negative role in ameliorating information poverty.Through these social networks,rural people with different educational backgrounds and income levels suffer the information divide.Originality/value:This research focuses on the seven kinds of information which are crucial in rural people’s living and productivity.The connection between the characteristics of social networks and information exchange are revealed.
基金Supported by the National High Technology Research and Development Program of China("863"Program)(2006AA706103)~~
文摘The key exchange is a fundamental building block in the cryptography. Several provable security models for the key exchange protocol are proposed. To determine the exact properties required by the protocols, a single unified security model is essential, The eCK , eCK and CK models are examined and the result is proved that the eCK＇ model is the strongest provable security model for the key exchange. The relative security strength among these models is analyzed. To support the implication or non-implication relations among these models, the formal proofs and the counter-examples are given.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11505114 and 10975099)the Program for Professor of Special Appointment(Orientational Scholar)at Shanghai Institutions of Higher Learning(Grant Nos.QD02015016 and DUSST02)+1 种基金the Shanghai Project for Construction of Discipline Peaks,the Natural Science Foundation of Guangxi Zhuang Guangxi Zhuang Autonomous Region(Grant No.2016GXNSFDA380031)the Fundamental Ability Enhancement Project for Young and Middle-aged University Teachers in Guangxi Zhuang Autonomous Region(Grant No.2017KY0859)
文摘Projection is a widely used method in bipartite networks. However, each projection has a specific application scenario and differs in the forms of mapping for bipartite networks. In this paper, inspired by the network-based information exchange dynamics, we propose a uniform framework of projection. Subsequently, an information exchange rate projection based on the nature of community structures of a network （named IERCP） is designed to detect community structures of bipartite networks. Results from the synthetic and real-world networks show that the IERCP algorithm has higher performance compared with the other projection methods. It suggests that the IERCP may extract more information hidden in bipartite networks and minimize information loss.
