@inproceedings{fe7386d9cd9a4bfcb2e2f020d0ad9fa3,
title = "Generalized Jordan Center: A Source Localization Heuristic for Noisy and Incomplete Observations",
abstract = "We consider estimating the source of a spreading process on a directed acyclic graph using noisy and incomplete observations; we believe this is the first work on source estimation under noisy information. Our main contribution is a novel heuristic, the generalized Jordan center (GJC), which is the maximum likelihood estimator of the diffusion source under mild conditions.",
keywords = "blockchain, diffusion source estimation, directed acyclic graph, message passing",
author = "Huozhi Zhou and Ashish Jagmohan and Varshney, {Lav R.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Data Science Workshop, DSW 2019 ; Conference date: 02-06-2019 Through 05-06-2019",
year = "2019",
month = jun,
doi = "10.1109/DSW.2019.8755585",
language = "English (US)",
series = "2019 IEEE Data Science Workshop, DSW 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "243--247",
booktitle = "2019 IEEE Data Science Workshop, DSW 2019 - Proceedings",
address = "United States",
}