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Research Article | Open Access |

A Novel E-Mail Network Evolution Model based on user Information

Author 1: Lejun ZHANG Author 2: Tongxin ZHOU Author 3: Chunhui ZHAO Author 4: Zilong JIN
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 5 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090505

Abstract

E-mail is one of the main means of communication in society today, and it is a typical social network. Studying the evolution of the social network structure by constructing an e-mail network evolution model is of great significance to the literature. In this paper, we first analyze the e-mail network by constructing an e-mail network communication model; this mainly includes analysis of the structure of the e-mail network and analysis of the user information in the e-mail network; then, we propose an e-mail network evolution model based on the characteristics of user information and give the specific evolutionary steps; finally, the simulation experiments are carried out to analyze the characteristics of the model. Experiments show that the nodes are characterized by a power-law distribution, and compared with other models; the model is closer to the real network, so it has important practical significance.

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How to Cite this Article

ZHANG, L., ZHOU, T., ZHAO, C., & JIN, Z. (2018). A Novel E-Mail Network Evolution Model based on user Information. International Journal of Advanced Computer Science and Applications, 9(5). https://doi.org/10.14569/IJACSA.2018.090505

ZHANG, Lejun, et al.. "A Novel E-Mail Network Evolution Model based on user Information." International Journal of Advanced Computer Science and Applications, vol. 9, no. 5, 2018, https://doi.org/10.14569/IJACSA.2018.090505.

@article{ZHANG2018,
  title     = {A Novel E-Mail Network Evolution Model based on user Information},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {5},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Lejun ZHANG and Tongxin ZHOU and Chunhui ZHAO and Zilong JIN},
  doi       = {10.14569/IJACSA.2018.090505},
  url       = {https://doi.org/10.14569/IJACSA.2018.090505}
}

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