Blind Identification of Stochastic Block Models from Dynamical Observations

dc.contributor.author	Schaub, Michael T
dc.contributor.author	Segarra, Santiago
dc.contributor.author	Tsitsiklis, John N
dc.date.accessioned	2021-10-27T20:22:34Z
dc.date.available	2021-10-27T20:22:34Z
dc.date.issued	2020
dc.identifier.uri	https://hdl.handle.net/1721.1/135229
dc.language.iso	en
dc.publisher	Society for Industrial & Applied Mathematics (SIAM)
dc.relation.isversionof	10.1137/19M1263340
dc.rights	Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.source	SIAM
dc.title	Blind Identification of Stochastic Block Models from Dynamical Observations
dc.type	Article
dc.contributor.department	Massachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.contributor.department	Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.relation.journal	SIAM Journal on Mathematics of Data Science
dc.eprint.version	Final published version
dc.type.uri	http://purl.org/eprint/type/JournalArticle
eprint.status	http://purl.org/eprint/status/PeerReviewed
dc.date.updated	2021-03-24T16:44:15Z
dspace.orderedauthors	Schaub, MT; Segarra, S; Tsitsiklis, JN
dspace.date.submission	2021-03-24T16:44:17Z
mit.journal.volume	2
mit.journal.issue	2
mit.license	PUBLISHER_POLICY
mit.metadata.status	Authority Work and Publication Information Needed