Complex network characteristic computing method

Abstract

The invention relates to a complex network characteristic computing method. A network characteristic computing toolbox is established, and then a computing module for computing degree and degree distribution of the network, a computing module for computing a clustering coefficient of the network and the clustering coefficient of a node, a computing module for computing the shortest path of the network, a computing module for computing an edge betweenness and a vertex betweenness of the network, a computing module for computing a connected component of the network, and a file generating module for generating a visual file are established in the network characteristic computing toolbox; a plurality of computing modules for the complex network characteristic computing and the file generating module for generating the visual file are integrated in the toolbox. A user only needs to install the toolbox software on the computer to read the file to compute, all characteristics can be computed, after the computation is completed, the characteristics are output after an file format for outputting is selected. The complex network characteristic computing method disclosed by the invention is simple, fast and convenient for operation and implementation.

Description

technical field [0001] The invention relates to a method for calculating complex network features. Background technique [0002] At present, most of the feature calculation process of many complex networks calls matlab functions, such as BCT. Such toolkits are all functions and have no interactive interface. And no one has transplanted it to the C language, let alone integrated it into a tool software with interactive functions. [0003] Disadvantages of the existing technology: you need to call the function yourself to complete the function. In this case, people with certain programming ability are required, and it is not usable for those who do not have programming ability, such as BCT. There is no human-computer interaction interface, and it is not fast. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a complex network feature calculation method, establish a network feature calculation toolbox, and directly ...

AI Technical Summary

Problems solved by technology

[0002] At present, most of the feature calculation process of many complex networks calls matlab functions, such as BCT. Such toolkits are all functions and have no interactive interface.

And no one has transplanted it to the C language, let alone integrated it into a tool software with interactive functions.

[0003] Disadvantages of the existing technology: You need to call the function yourself to complete the function. In this case, people with certain programming skills are required, and it is not usable for those without programming skills, such as BCT

There is no human-computer interaction interface, which is not convenient and fast