Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

A Novel Algorithm for Important Email Network Nodes Mining

Authors
Junkai Yi, Zhirong Li, Xianghui Zhao
Corresponding Author
Junkai Yi
Available Online May 2016.
DOI
https://doi.org/10.2991/amsm-16.2016.11How to use a DOI?
Keywords
nodes mining; core number; PAGERANK
Abstract

Mining important persons is significant to network security, especially researches on email network centralization nowadays. To solve the problem that traditional PageRank algorithm is sensitive to the network disturbance, this paper proposes a method which decomposes email network into different layers based on the core number and eliminates the interferential nodes from outer layers. Besides, it improves PageRank algorithm which ranks the nodes quantitatively to find the important nodes. The experiments indicate that it improves the accuracy and reduces the computational complexity in mining important nodes from email network.

Copyright
© 2016, 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 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/amsm-16.2016.11How to use a DOI?
Copyright
© 2016, 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  - Junkai Yi
AU  - Zhirong Li
AU  - Xianghui Zhao
PY  - 2016/05
DA  - 2016/05
TI  - A Novel Algorithm for Important Email Network Nodes Mining
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 44
EP  - 48
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.11
DO  - https://doi.org/10.2991/amsm-16.2016.11
ID  - Yi2016/05
ER  -