Blind Identification of Stochastic Block Models from Dynamical Observations

Bibliographic Details
Main Authors: Schaub, Michael T, Segarra, Santiago, Tsitsiklis, John N
Other Authors: Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Format: Article
Language:English
Published: Society for Industrial & Applied Mathematics (SIAM) 2021
Online Access:https://hdl.handle.net/1721.1/135229
_version_ 1826194068491730944
author Schaub, Michael T
Segarra, Santiago
Tsitsiklis, John N
author2 Massachusetts Institute of Technology. Institute for Data, Systems, and Society
author_facet Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Schaub, Michael T
Segarra, Santiago
Tsitsiklis, John N
author_sort Schaub, Michael T
collection MIT
first_indexed 2024-09-23T09:50:00Z
format Article
id mit-1721.1/135229
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T09:50:00Z
publishDate 2021
publisher Society for Industrial & Applied Mathematics (SIAM)
record_format dspace
spelling mit-1721.1/1352292023-12-13T21:11:05Z Blind Identification of Stochastic Block Models from Dynamical Observations Schaub, Michael T Segarra, Santiago Tsitsiklis, John N Massachusetts Institute of Technology. Institute for Data, Systems, and Society Massachusetts Institute of Technology. Laboratory for Information and Decision Systems 2021-10-27T20:22:34Z 2021-10-27T20:22:34Z 2020 2021-03-24T16:44:15Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135229 en 10.1137/19M1263340 SIAM Journal on Mathematics of Data Science 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. application/pdf Society for Industrial & Applied Mathematics (SIAM) SIAM
spellingShingle Schaub, Michael T
Segarra, Santiago
Tsitsiklis, John N
Blind Identification of Stochastic Block Models from Dynamical Observations
title Blind Identification of Stochastic Block Models from Dynamical Observations
title_full Blind Identification of Stochastic Block Models from Dynamical Observations
title_fullStr Blind Identification of Stochastic Block Models from Dynamical Observations
title_full_unstemmed Blind Identification of Stochastic Block Models from Dynamical Observations
title_short Blind Identification of Stochastic Block Models from Dynamical Observations
title_sort blind identification of stochastic block models from dynamical observations
url https://hdl.handle.net/1721.1/135229
work_keys_str_mv AT schaubmichaelt blindidentificationofstochasticblockmodelsfromdynamicalobservations
AT segarrasantiago blindidentificationofstochasticblockmodelsfromdynamicalobservations
AT tsitsiklisjohnn blindidentificationofstochasticblockmodelsfromdynamicalobservations