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Complex network modeling method

A modeling method and technology for complex networks, applied in the field of systems science, which can solve the problem that the model cannot well reflect the statistical properties of the real network.

Inactive Publication Date: 2011-05-25
UNIV OF SCI & TECH OF CHINA
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  • Abstract
  • Description
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Problems solved by technology

[0005] Therefore, the existing modeling methods are somewhat one-sided, and the constructed models cannot well reflect the statistical properties of real networks.

Method used

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Embodiment Construction

[0019] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0020] refer to figure 1 , which is a flow chart of the steps of the complex network modeling method according to the embodiment of the present invention.

[0021] As shown in the figure, the two-dimensional lattice is first initialized (step 202). For example, a Q×Q two-dimensional lattice is established as the evolution space of the complex network, and the network evolves within the scope of this lattice. Each node has a two-dimensional coordinate in this space. Then, initialize on the two-dimensional lattice (step 204): randomly g...

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Abstract

The invention relates to a complex network modeling method, comprising the following steps: two-dimensional crystal lattice is built for being used as an evolution space of a complex network; a plurality of interconnected initial nodes are generated randomly, wherein each in initial node occupy one lattice of the two-dimensional crystal lattice; a new node is added randomly on the two-dimensionalcrystal lattice, and attractive forces between the new node and the existing nodes on the two-dimensional crystal lattice are respectively calculated; the connection of the new node and the existing nodes is built according to the size of the attractive force; the node adding and connecting steps are repeated to obtain an evolution network module of the complex network. The method can well reflect the attribute of a real network system.

Description

technical field [0001] The invention belongs to the field of system science, and in particular relates to a complex network modeling method. Background technique [0002] In recent years, networks such as the Internet, the World Wide Web, and various social and biological networks have become research hotspots of particular concern. It is found that a large number of real complex systems can be described by using networks, and we can understand these complex systems better by studying these abstract networks. In 1998, Watts, a doctoral student from the Department of Mathematics of Cornell University, and his supervisor Professor Strogatz published an article in Nature, proposing the famous small-world network model; in 1999, Professor Barabási and his doctoral student Albert from the Department of Physics, Notre Dame University, The famous scale-free network model was proposed in Science. These two groundbreaking works have attracted extensive attention from researchers in...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 曹先彬杜文博陈才龙许言午
Owner UNIV OF SCI & TECH OF CHINA
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