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Abstract

E-mail as people today an important tool for the exchange of information, more comprehensive mapping of the exchanges between people. Research e-mail network topology, the network spread of the virus to human activity model to provide a theoretical basis. This article from the perspective of complex network theory in detail on the Shanghai Jiaotong University e-mail networks were analyzed. This article is extracted from the message log valid data. Considered spam, bulk mail, user privacy and other factors, the data is pre-constructed original network and interactive network two networks. Both have small world phenomenon, relatively flat subscriber growth trend, from the network traffic laws can be inferred Jiaotong University e-mail exchanges primarily for work. Original network and the cumulative distribution of interactive network obey exponential distribution extension, rather than the previous research indicates power-law or exponential distribution. Original network with a slight different characteristics of the interaction with the network is equipped with a slightly different characteristics, so interactive network structure more in line with the characteristics of real social networks. By analyzing the network node centrality, we find that if you want to pass a certain percentage of nodes quickly pass information to the entire network, then randomly selected in the original network nodes and node selection priority generosity propagation time required roughly equal. The interactive network nodes are selected generosity could save time. Two networks degree and betweenness showed a strong positive correlation. This paper analyzes the dynamic interaction network topological properties, find the e-mail network with foreign universities compared to the e-mail network users Jiaotong average is low, more for work exchanges, network phenomenon is more evident in small groups . Taking into account the weights, this paper analyzes the weighted interaction network topology, with previous studies found similar weights and node values ??of correlation coefficient of 0.84. Degree nodes in the network does not exist between rich club phenomenon, but the high weight of this phenomenon exists between the nodes. Weighted fitness algorithm analysis of the network of associations, societies discovered the size of the cumulative distribution follows a power law distribution, power-law distribution of scale-explanatory Jiaotong societies without feature size. By removing some nodes and edges to analyze the network fault tolerance, generosity nodes in the network connectivity of the network played a crucial role in the side of the small weights more to destroy the network connectivity.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > E-mail ( E -mail )
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Based on the theory of complex networks of e-mail network

Abstract

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