{"_id":"eTRnf9RpYidEP4xYN","bibbaseid":"gulikers-lelarge-massouli-aspectralmethodforcommunitydetectioninmoderatelysparsedegreecorrectedstochasticblockmodels-2017","author_short":["Gulikers, L.","Lelarge, M.","Massoulié, L."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Lennart"],"propositions":[],"lastnames":["Gulikers"],"suffixes":[]},{"firstnames":["Marc"],"propositions":[],"lastnames":["Lelarge"],"suffixes":[]},{"firstnames":["Laurent"],"propositions":[],"lastnames":["Massoulié"],"suffixes":[]}],"title":"A spectral method for community detection in moderately sparse degree-corrected stochastic block models","journal":"Advances in Applied Probability","volume":"49","number":"3","pages":"686–721","month":"September","year":"2017","coden":"AAPBBD","doi":"https://doi.org/10.1017/apr.2017.18","issn":"0001-8678 (print), 1475-6064 (electronic)","issn-l":"0001-8678","bibdate":"Sat Mar 16 08:55:03 MDT 2019","bibsource":"http://www.math.utah.edu/pub/tex/bib/advapplprob.bib","url":"https://www.cambridge.org/core/journals/advances-in-applied-probability/article/spectral-method-for-community-detection-in-moderately-sparse-degreecorrected-stochastic-block-models/FAF2E125F2D2889CBEFDFA644BA5F57F","acknowledgement":"Nelson H. F. Beebe, University of Utah, Department of Mathematics, 110 LCB, 155 S 1400 E RM 233, Salt Lake City, UT 84112-0090, USA, Tel: +1 801 581 5254, FAX: +1 801 585 1640, +1 801 581 4148, e-mail: \\path|beebe@math.utah.edu|, \\path|beebe@acm.org|, \\path|beebe@computer.org| (Internet), URL: \\path|http://www.math.utah.edu/ beebe/|","ajournal":"Adv. Appl. Probab.","fjournal":"Advances in Applied Probability","journal-url":"https://www.cambridge.org/core/journals/advances-in-applied-probability","onlinedate":"08 September 2017","bibtex":"@Article{Gulikers:2017:SMC,\n author = \"Lennart Gulikers and Marc Lelarge and Laurent\n Massouli{\\'e}\",\n title = \"A spectral method for community detection in\n moderately sparse degree-corrected stochastic block\n models\",\n journal = j-ADV-APPL-PROB,\n volume = \"49\",\n number = \"3\",\n pages = \"686--721\",\n month = sep,\n year = \"2017\",\n CODEN = \"AAPBBD\",\n DOI = \"https://doi.org/10.1017/apr.2017.18\",\n ISSN = \"0001-8678 (print), 1475-6064 (electronic)\",\n ISSN-L = \"0001-8678\",\n bibdate = \"Sat Mar 16 08:55:03 MDT 2019\",\n bibsource = \"http://www.math.utah.edu/pub/tex/bib/advapplprob.bib\",\n URL = \"https://www.cambridge.org/core/journals/advances-in-applied-probability/article/spectral-method-for-community-detection-in-moderately-sparse-degreecorrected-stochastic-block-models/FAF2E125F2D2889CBEFDFA644BA5F57F\",\n acknowledgement = ack-nhfb,\n ajournal = \"Adv. Appl. Probab.\",\n fjournal = \"Advances in Applied Probability\",\n journal-URL = \"https://www.cambridge.org/core/journals/advances-in-applied-probability\",\n onlinedate = \"08 September 2017\",\n}\n\n","author_short":["Gulikers, L.","Lelarge, M.","Massoulié, L."],"key":"Gulikers:2017:SMC","id":"Gulikers:2017:SMC","bibbaseid":"gulikers-lelarge-massouli-aspectralmethodforcommunitydetectioninmoderatelysparsedegreecorrectedstochasticblockmodels-2017","role":"author","urls":{"Paper":"https://www.cambridge.org/core/journals/advances-in-applied-probability/article/spectral-method-for-community-detection-in-moderately-sparse-degreecorrected-stochastic-block-models/FAF2E125F2D2889CBEFDFA644BA5F57F"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"http://ftp.math.utah.edu/pub/tex/bib/advapplprob.bib","dataSources":["8DKZik2cWsn9Xkr7S"],"keywords":[],"search_terms":["spectral","method","community","detection","moderately","sparse","degree","corrected","stochastic","block","models","gulikers","lelarge","massoulié"],"title":"A spectral method for community detection in moderately sparse degree-corrected stochastic block models","year":2017}