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Dependent network seepage analysis method and analysis system based on edge coupling

An analysis method and edge coupling technology, applied in the field of complex network seepage phase change behavior analysis, can solve the problem of not considering the existence of dependencies, and achieve the effect of good robustness and good network invulnerability

Active Publication Date: 2021-02-02
EAST CHINA JIAOTONG UNIVERSITY
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Problems solved by technology

[0006] Through the above analysis, the existing problems and defects of the existing technology are: the existing interdependence network modeling abstracts the interdependence of the network as the interdependency of the nodes and does not consider a kind of actual situation, that is, the edge of one network and the other network There is a dependency on the edge of

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  • Dependent network seepage analysis method and analysis system based on edge coupling
  • Dependent network seepage analysis method and analysis system based on edge coupling
  • Dependent network seepage analysis method and analysis system based on edge coupling

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Embodiment

[0086] (1) Side-to-side dependency network model

[0087] The edge-dependent network model is shown in Figure 3. Without loss of generality, this invention studies a two-layer edge-dependent network, which is composed of network A and network B. It is assumed that network A and network B have the same number of nodes and average degree, that is to say The two networks have the same total number of edges, randomly select an edge in the A network to establish a dependency relationship with an edge in the B network, until all edges establish a one-to-one dependency. Because the function of the network is defined on the edge, it is more reasonable for the present invention to carry out research based on the edge percolation theory, that is, to randomly invalidate edges with a ratio of 1-p in the network to study the phase transition behavior of the network. When a part of the edges in the A network is subjected to random attacks, it may cause some nodes to break away from the maxi...

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Abstract

The invention belongs to the technical field of complex network seepage phase change behavior analysis, and discloses an edge coupling-based dependent network seepage analysis method and analysis system. The method comprises the following steps: constructing an edge-to-edge dependent network model; establishing a theoretical analysis framework of the edge-to-edge dependent network model by adopting a self-balancing probability theory; and analyzing seepage phase change behaviors and seepage thresholds of other edge-to-edge dependent network models under random failure based on the constructedtheoretical analysis framework. A theoretical analysis framework of the model is established by adopting a self-balancing probability theory, a state equation of the stabilized system can be directlywritten without tracking a cascade failure process, and the method has the advantages of intuitiveness and simplicity. According to the method, the phase change behavior and the seepage threshold of the model under random failure are analyzed on the basis of the theoretical framework, and the method has reuse significance for understanding the robustness of the edge coupling network in the real world.

Description

technical field [0001] The invention belongs to the technical field of complex network seepage phase transition behavior analysis, in particular to an edge coupling-based dependent network seepage analysis method and analysis system. Background technique [0002] At present, with the advancement of society and science and technology, the scale of various networks in the world on which people live is getting larger and larger, and the connections between networks are getting closer, especially the interdependence between infrastructure networks. Very common, such as power-information network, the power station provides energy for the information network, and the information network provides control signals for the power grid. These interdependencies between networks greatly increase the vulnerability of the network. The Italian blackout in 2003 has inspired researchers to study the robustness of networks from the perspective of interdependence between networks. Scholars abs...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/18G06F111/10G06F111/04
CPCG06F30/20G06F30/18G06F2111/10G06F2111/04
Inventor 高彦丽陈世明
Owner EAST CHINA JIAOTONG UNIVERSITY
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