{"id":"https://openalex.org/W2600867135","doi":"https://doi.org/10.1109/tmbmc.2017.2686387","title":"Bounded-Degree Connected Approximations of Stochastic Networks","display_name":"Bounded-Degree Connected Approximations of Stochastic Networks","publication_year":2017,"publication_date":"2017-03-23","ids":{"openalex":"https://openalex.org/W2600867135","doi":"https://doi.org/10.1109/tmbmc.2017.2686387","mag":"2600867135"},"language":"en","primary_location":{"id":"doi:10.1109/tmbmc.2017.2686387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmbmc.2017.2686387","pdf_url":null,"source":{"id":"https://openalex.org/S2490853239","display_name":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","issn_l":"2332-7804","issn":["2332-7804","2372-2061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Molecular, Biological and Multi-Scale Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038627779","display_name":"Christopher J. Quinn","orcid":"https://orcid.org/0000-0002-9053-1504"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher J. Quinn","raw_affiliation_strings":["School of Industrial Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-9053-1504","affiliations":[{"raw_affiliation_string":"School of Industrial Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068770852","display_name":"Ali P\u0131nar","orcid":"https://orcid.org/0000-0002-2641-7344"},"institutions":[{"id":"https://openalex.org/I192454743","display_name":"Sandia National Laboratories California","ror":"https://ror.org/058m7ey48","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1330989302","https://openalex.org/I192454743","https://openalex.org/I198811213","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Pinar","raw_affiliation_strings":["Data Science and Cyber Analytics Department, Sandia National Laboratories, Livermore, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science and Cyber Analytics Department, Sandia National Laboratories, Livermore, CA, USA","institution_ids":["https://openalex.org/I192454743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012789968","display_name":"Negar Kiyavash","orcid":"https://orcid.org/0000-0002-8545-7709"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Negar Kiyavash","raw_affiliation_strings":["Department of Industrial and Enterprise Systems Engineering, University of Illinois, Urbana, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Enterprise Systems Engineering, University of Illinois, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1137,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41808928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":"2","first_page":"79","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6748765110969543},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6188377737998962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615542471408844},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.6133589148521423},{"id":"https://openalex.org/keywords/spanning-tree","display_name":"Spanning tree","score":0.5984576940536499},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5606318116188049},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5035259127616882},{"id":"https://openalex.org/keywords/minimum-spanning-tree","display_name":"Minimum spanning tree","score":0.49054521322250366},{"id":"https://openalex.org/keywords/approximations-of-\u03c0","display_name":"Approximations of \u03c0","score":0.44827035069465637},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4315226674079895},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.42282533645629883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3570992946624756},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35384872555732727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3509836196899414},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.22185969352722168},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2073090374469757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19874489307403564},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15080183744430542}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6748765110969543},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6188377737998962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615542471408844},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.6133589148521423},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.5984576940536499},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5606318116188049},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5035259127616882},{"id":"https://openalex.org/C13743678","wikidata":"https://www.wikidata.org/wiki/Q240464","display_name":"Minimum spanning tree","level":2,"score":0.49054521322250366},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.44827035069465637},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4315226674079895},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42282533645629883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3570992946624756},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35384872555732727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3509836196899414},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.22185969352722168},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2073090374469757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19874489307403564},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15080183744430542},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmbmc.2017.2686387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmbmc.2017.2686387","pdf_url":null,"source":{"id":"https://openalex.org/S2490853239","display_name":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","issn_l":"2332-7804","issn":["2332-7804","2372-2061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Molecular, Biological and Multi-Scale Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G1601580470","display_name":null,"funder_award_id":"CCF 15-66513","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5050721262","display_name":null,"funder_award_id":"CNS 08-31488","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6874991541","display_name":null,"funder_award_id":"CCF 10-54937 CAR","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7039840861","display_name":null,"funder_award_id":"DE-FG02-97ER25308","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7595684426","display_name":null,"funder_award_id":"FA 9550-10-1-0573","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1489262227","https://openalex.org/W1521875540","https://openalex.org/W1530964327","https://openalex.org/W1556068558","https://openalex.org/W1967632955","https://openalex.org/W2007809740","https://openalex.org/W2022332792","https://openalex.org/W2037618777","https://openalex.org/W2050666122","https://openalex.org/W2058898908","https://openalex.org/W2059099364","https://openalex.org/W2063877121","https://openalex.org/W2068000292","https://openalex.org/W2082484220","https://openalex.org/W2084008199","https://openalex.org/W2101460669","https://openalex.org/W2109309401","https://openalex.org/W2129054114","https://openalex.org/W2134871279","https://openalex.org/W2140911775","https://openalex.org/W2151229057","https://openalex.org/W2155573334","https://openalex.org/W2163166770","https://openalex.org/W2168614460","https://openalex.org/W2171853113","https://openalex.org/W2174375947","https://openalex.org/W2178225550","https://openalex.org/W2284915482","https://openalex.org/W2464116876","https://openalex.org/W2478708596","https://openalex.org/W2511610853","https://openalex.org/W2614367676","https://openalex.org/W2900434634","https://openalex.org/W2912780563","https://openalex.org/W2952309330","https://openalex.org/W2963250855","https://openalex.org/W2963675110","https://openalex.org/W3000219431","https://openalex.org/W3006419771","https://openalex.org/W3098625064","https://openalex.org/W3123545922","https://openalex.org/W3123899698","https://openalex.org/W4246185962","https://openalex.org/W4294491640","https://openalex.org/W4296585035","https://openalex.org/W6628742764","https://openalex.org/W6629237864","https://openalex.org/W6631117360","https://openalex.org/W6681130209","https://openalex.org/W6681956693","https://openalex.org/W6683167872","https://openalex.org/W6758811271"],"related_works":["https://openalex.org/W2099915933","https://openalex.org/W2418231958","https://openalex.org/W4380840098","https://openalex.org/W3116169590","https://openalex.org/W1703428550","https://openalex.org/W2044443696","https://openalex.org/W3101281637","https://openalex.org/W2390742649","https://openalex.org/W1561849181","https://openalex.org/W3081212354"],"abstract_inverted_index":{"We":[0,89,95],"propose":[1],"a":[2,48,100],"method":[3,76],"to":[4,44,80],"find":[5],"optimal":[6],"sparse":[7],"connected":[8],"approximations":[9,37,56],"for":[10],"large":[11],"complex":[12],"networks":[13,81],"of":[14,103],"nodes":[15],"interacting":[16],"over":[17],"time.":[18],"Optimality":[19],"is":[20,27],"measured":[21],"by":[22,29],"Kullback-Leibler":[23],"divergence.":[24],"The":[25,36,55,74],"sparsity":[26],"controlled":[28],"the":[30,34,70,85,104,112],"user":[31],"through":[32,47],"specifying":[33],"in-degrees.":[35],"have":[38],"spanning":[39],"tree":[40],"subgraphs,":[41],"enabling":[42],"them":[43],"depict":[45,53],"flow":[46],"network.":[49,73],"They":[50],"can":[51,57,77],"also":[52],"feedback.":[54],"capture":[58],"both":[59],"significant":[60],"statistical":[61],"dependencies":[62],"in,":[63],"and":[64,92,108],"preserve":[65],"salient":[66],"topological":[67],"features":[68],"of,":[69],"full":[71],"(unknown)":[72],"proposed":[75],"be":[78],"applied":[79],"without":[82],"restrictions":[83],"on":[84],"dynamics":[86],"beyond":[87],"stationarity.":[88],"analyze":[90],"computational":[91],"sample":[93],"complexity.":[94],"demonstrate":[96],"their":[97],"efficacy":[98],"using":[99],"large-scale":[101],"simulation":[102],"turtle":[105],"visual":[106],"cortex":[107],"experimental":[109],"data":[110],"from":[111],"primate":[113],"motor":[114],"cortex.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
