{"id":"https://openalex.org/W4320024222","doi":"https://doi.org/10.1109/bigdata55660.2022.10020928","title":"A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies","display_name":"A Stochastic Geo-spatiotemporal Bipartite Network to Optimize GCOOS Sensor Placement Strategies","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024222","doi":"https://doi.org/10.1109/bigdata55660.2022.10020928"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020928","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2404.14357","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062202770","display_name":"Ted Holmberg","orcid":"https://orcid.org/0000-0002-7975-5603"},"institutions":[{"id":"https://openalex.org/I192396691","display_name":"University of New Orleans","ror":"https://ror.org/034mtvk83","country_code":"US","type":"education","lineage":["https://openalex.org/I192396691","https://openalex.org/I2799628689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ted Holmberg","raw_affiliation_strings":["University of New Orleans,Department of Computer Science,New Orleans,LA,USA","Department of Computer Science, University of New Orleans, New Orleans, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New Orleans,Department of Computer Science,New Orleans,LA,USA","institution_ids":["https://openalex.org/I192396691"]},{"raw_affiliation_string":"Department of Computer Science, University of New Orleans, New Orleans, LA, USA","institution_ids":["https://openalex.org/I192396691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008394543","display_name":"Elias Ioup","orcid":"https://orcid.org/0009-0002-3699-6762"},"institutions":[{"id":"https://openalex.org/I2802384920","display_name":"Stennis Space Center","ror":"https://ror.org/03j9e2j92","country_code":"US","type":"facility","lineage":["https://openalex.org/I2802384920","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I4388482693","display_name":"Naval Research Laboratory Ocean Sciences Division","ror":"https://ror.org/00nzxdq35","country_code":null,"type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028","https://openalex.org/I4388482693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elias Ioup","raw_affiliation_strings":["Stennis Space Center,Center for Geospatial Sciences, Naval Research Laboratory,Mississippi,USA","Center for Geospatial Sciences, Naval Research Laboratory, Stennis Space Center, Mississippi, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stennis Space Center,Center for Geospatial Sciences, Naval Research Laboratory,Mississippi,USA","institution_ids":["https://openalex.org/I2802384920","https://openalex.org/I4388482693"]},{"raw_affiliation_string":"Center for Geospatial Sciences, Naval Research Laboratory, Stennis Space Center, Mississippi, USA","institution_ids":["https://openalex.org/I2802384920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082583698","display_name":"Mahdi Abdelguerfi","orcid":"https://orcid.org/0009-0002-0932-2009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdi Abdelguerfi","raw_affiliation_strings":["Center for Environmental Informatics,Cannizaro-Livingston Gulf States,New Orleans,LA,USA","Cannizaro-Livingston Gulf States, Center for Environmental Informatics, New Orleans, LA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Environmental Informatics,Cannizaro-Livingston Gulf States,New Orleans,LA,USA","institution_ids":[]},{"raw_affiliation_string":"Cannizaro-Livingston Gulf States, Center for Environmental Informatics, New Orleans, LA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6212,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84743326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3668","last_page":"3674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9466000199317932,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8089640140533447},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.788625955581665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653765439987183},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5730604529380798},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.5623478293418884},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.49224963784217834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36295509338378906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2626667022705078},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16317686438560486}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8089640140533447},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.788625955581665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653765439987183},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5730604529380798},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.5623478293418884},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.49224963784217834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36295509338378906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2626667022705078},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16317686438560486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020928","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020928","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2404.14357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.14357","pdf_url":"https://arxiv.org/pdf/2404.14357","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2404.14357","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.14357","pdf_url":"https://arxiv.org/pdf/2404.14357","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.8700000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1484040084","https://openalex.org/W1874858905","https://openalex.org/W2014453774","https://openalex.org/W2162653408","https://openalex.org/W3109089857","https://openalex.org/W3171081369","https://openalex.org/W4235705169","https://openalex.org/W4244046791"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W1994680671","https://openalex.org/W2953461625","https://openalex.org/W2000283393","https://openalex.org/W2002320543","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2061947244","https://openalex.org/W2044444031","https://openalex.org/W2123024628"],"abstract_inverted_index":{"This":[0,50,95],"paper":[1],"proposes":[2],"two":[3],"new":[4,71],"measures":[5],"applicable":[6],"in":[7],"a":[8,79],"spatial":[9],"bipartite":[10,18],"network":[11,19],"model:":[12],"coverage":[13,15,37,39],"and":[14,27,38,87,102],"robustness.":[16],"The":[17,36,110],"must":[20],"consist":[21],"of":[22,45,90,93,98,105],"observer":[23,31,47,72],"nodes,":[24,26],"observable":[25,34],"edges":[28],"that":[29],"connect":[30],"nodes":[32,101],"to":[33,66,113,117,120],"nodes.":[35,73,109],"robustness":[40],"scores":[41],"evaluate":[42],"the":[43,46,85,91,122,126],"effectiveness":[44],"node":[48],"placements.":[49],"measure":[51],"is":[52,112],"beneficial":[53],"for":[54,70],"stochastic":[55,86],"data":[56],"as":[57],"it":[58],"may":[59],"be":[60],"coupled":[61],"with":[62],"Monte":[63],"Carlo":[64],"simulations":[65],"identify":[67,114],"optimal":[68,115],"placements":[69,116],"In":[74],"this":[75],"paper,":[76],"we":[77],"construct":[78],"Geo-SpatioTemporal":[80],"Bipartite":[81],"Network":[82],"(GSTBN)":[83],"within":[84],"dynamical":[88],"environment":[89],"Gulf":[92],"Mexico.":[94],"GSTBN":[96],"consists":[97],"GCOOS":[99,119],"sensor":[100],"HYCOM":[103,127],"Region":[104],"Interest":[106],"(RoI)":[107],"event":[108],"goal":[111],"expand":[118],"improve":[121],"forecasting":[123],"outcomes":[124],"by":[125],"ocean":[128],"prediction":[129],"model.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
