Localization of Diffusion Source in Networks With the Noisy Data
Authors
Tiantian Li, Lu Niu
Corresponding Author
Tiantian Li
Available Online November 2017.
- DOI
- 10.2991/amms-17.2017.23How to use a DOI?
- Keywords
- localization; spreading nodes; lasso method; noisy data
- Abstract
Locating diffusion source in network is an important issue in network data analysis. Many methods have been developed. However, noiseless assumption used in the literature is restrictive and the methods are not robust enough. In this paper, we consider the problem of locating diffusion source in networks with the noisy presented. Since the sample size is much smaller than the dimension of unknown parameters, the Lasso method is used to identify the locating diffusion source in networks. Simulation results confirm the effectiveness of our method.
- 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 - Tiantian Li AU - Lu Niu PY - 2017/11 DA - 2017/11 TI - Localization of Diffusion Source in Networks With the Noisy Data BT - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017) PB - Atlantis Press SP - 102 EP - 105 SN - 1951-6851 UR - https://doi.org/10.2991/amms-17.2017.23 DO - 10.2991/amms-17.2017.23 ID - Li2017/11 ER -