Abstract
We consider the problem of estimating both the location of source and the start time of diffusion in complex networks. A sparse modeling method based on Lasso is proposed, under the condition that only a subset of nodes can be observed. Compared with least-squares method, the present approach can give more accurate estimation about the diffusion source. Experiments verify the effectiveness of the proposed method in scale-free (BA) and small-world (WS) networks.
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Acknowledgments
This work was supported by NSFC (No. 61673027), Fundamental Research Funds for the Central Universities in UIBE (CXTD10-05,18QD18), National Basic Research Program of China (973 Program, No. 2012CB821200).
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Shi, C., Zhang, Q., Chu, T. (2020). Estimating the Diffusion Source in Complex Networks with Sparse Modeling Method. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_3
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DOI: https://doi.org/10.1007/978-981-32-9698-5_3
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