Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)

Design of Complex Network Theory Experiment Platform Based on Matlab

Authors
Qingyu Zou, Haitao Ruan, Tao Wang
Corresponding Author
Qingyu Zou
Available Online August 2017.
DOI
10.2991/icacie-17.2017.39How to use a DOI?
Keywords
complex network; matlab; experiment platform; structural
Abstract

Complex network as a new research direction has gradually become a hot topic in the various fields of science, and the relevant research results continue to emerge. In order to analyze the structural characteristics of complex networks more efficiently, all kinds of analysis software, package and experimental platform are emerging. However, there are gaps in the identification of overlapping modules in complex directional network. In this paper, we design a DNMPQEP platform with overlapping module identification function and topological structure attribute analysis function. The platform is based on Mtalab software, including a variety of overlapping module recognition algorithm in directional network.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
978-94-6252-398-2
ISSN
2352-5401
DOI
10.2991/icacie-17.2017.39How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qingyu Zou
AU  - Haitao Ruan
AU  - Tao Wang
PY  - 2017/08
DA  - 2017/08
TI  - Design of Complex Network Theory Experiment Platform Based on Matlab
BT  - Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
PB  - Atlantis Press
SP  - 166
EP  - 168
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-17.2017.39
DO  - 10.2991/icacie-17.2017.39
ID  - Zou2017/08
ER  -