Localization of Diffusion Source in Networks With the Noisy Data

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/).

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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  -