Analysis of Characteristic Measurement and Typical Network Models in Complex Network
Zhen Qin
Abstract
Zhen Qin
Abstract
The development of complex systems science is still in the embryonic stage,but scientists and professors are optimistic about its broad development prospects.Recent years,with the in-depth research of the complex systems,the people begin researching the complex network from the entire system in various fields,thus forming the complex network theory.In this paper,the concept of complex network is first described,and then several in-common-use measurements of the complex network characteristics are introduced,and then some typical network models from the start to today summarized such as the random network model,the small world network model,and the scale-free network model.And this paper also gives a simple analysis on these models.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The development of complex systems science is still in the embryonic stage,but scientists and professors are optimistic about its broad development prospects.Recent years,with the in-depth research of the complex systems,the people begin researching the complex network from the entire system in various fields,thus forming the complex network theory.In this paper,the concept of complex network is first described,and then several in-common-use measurements of the complex network characteristics are introduced,and then some typical network models from the start to today summarized such as the random network model,the small world network model,and the scale-free network model.And this paper also gives a simple analysis on these models.
Key concepts: Computer science, Complex network, Network formation, Complex system, Network model, Network science, Network analysis, Organizational network analysis