Contact us
[email protected] | |
3275638434 | |
Paper Publishing WeChat |
Useful Links
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Cheng Xiangjun, Yang Fang and Wei Chong
Full-Text PDF XML 750 Views
DOI:10.17265/2328-2142/2021.01.001
Affiliation(s)
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
ABSTRACT
In order to discover the probability
distribution feature of edge in aviation network adjacent matrix of China and on
the basis of this feature to establish an algorithm of searching non-overlap community
structure in network to reveal the inner principle of complex network with the feature
of small world in aspect of adjacent matrix and community structure, aviation network
adjacent matrix of China was transformed according to the node rank and the matrix
was arranged on the basis of ascending node rank with the center point as original
point. Adjacent probability from the original point to extension around in approximate
area was calculated. Through fitting probability distribution curve, power function
of probability distribution of edge in adjacent matrix arranged by ascending node
rank was found. According to the feature of adjacent probability distribution, deleting
step by step with node rank ascending algorithm was set up to search non-overlap
community structure in network and the flow chart of algorithm was given. A non-overlap
community structure with 10 different scale communities in aviation network of China
was found by the computer program written on the basis of this algorithm.
KEYWORDS
Air transportation, adjacent matrix, deleting step by step with node rank ascending algorithm, aviation network of China, network community structure.
Cite this paper
References