{"id":"https://openalex.org/W2404459108","doi":"https://doi.org/10.1109/icassp.2016.7472292","title":"One plus two may not equal two plus one in a social sensing network with unknown parameters","display_name":"One plus two may not equal two plus one in a social sensing network with unknown parameters","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2404459108","doi":"https://doi.org/10.1109/icassp.2016.7472292","mag":"2404459108"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5088577155","display_name":"Stefano Maran\u00f2","orcid":"https://orcid.org/0000-0002-5307-0980"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Marano","raw_affiliation_strings":["DIEM, University of Salerno, Fisciano, (SA)"],"affiliations":[{"raw_affiliation_string":"DIEM, University of Salerno, Fisciano, (SA)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033752533","display_name":"Vincenzo Matta","orcid":"https://orcid.org/0000-0002-2046-4027"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Matta","raw_affiliation_strings":["DIEM, University of Salerno, Fisciano, (SA)"],"affiliations":[{"raw_affiliation_string":"DIEM, University of Salerno, Fisciano, (SA)","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019392883","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0001-8443-5586"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Willett","raw_affiliation_strings":["ECE Department, U-2157 University of Connecticut Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"ECE Department, U-2157 University of Connecticut Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088577155"],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04661681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"3321","last_page":"3325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9937000274658203,"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/fisher-information","display_name":"Fisher information","score":0.8207623958587646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6579638719558716},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6523960828781128},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5697107315063477},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5653547644615173},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.5448789596557617},{"id":"https://openalex.org/keywords/scoring-algorithm","display_name":"Scoring algorithm","score":0.5423768758773804},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5119222402572632},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4748145341873169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4610002040863037},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4324963688850403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42829132080078125},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4278784990310669},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.42708051204681396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3831004500389099},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3412977457046509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33915334939956665},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32704776525497437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2680274248123169},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2616259455680847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1885451078414917},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.07409334182739258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07156434655189514}],"concepts":[{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.8207623958587646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579638719558716},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6523960828781128},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5697107315063477},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5653547644615173},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.5448789596557617},{"id":"https://openalex.org/C83282275","wikidata":"https://www.wikidata.org/wiki/Q7435350","display_name":"Scoring algorithm","level":2,"score":0.5423768758773804},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5119222402572632},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4748145341873169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4610002040863037},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4324963688850403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42829132080078125},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4278784990310669},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.42708051204681396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3831004500389099},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3412977457046509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33915334939956665},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32704776525497437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2680274248123169},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2616259455680847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1885451078414917},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.07409334182739258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07156434655189514},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W171231911","https://openalex.org/W884457499","https://openalex.org/W1525535255","https://openalex.org/W1648420042","https://openalex.org/W1965392255","https://openalex.org/W1967087957","https://openalex.org/W2009855072","https://openalex.org/W2010192956","https://openalex.org/W2017903640","https://openalex.org/W2049633694","https://openalex.org/W2051688597","https://openalex.org/W2073261148","https://openalex.org/W2131369712","https://openalex.org/W2145096794","https://openalex.org/W2147276092","https://openalex.org/W2156063511","https://openalex.org/W2167167503","https://openalex.org/W2296616510","https://openalex.org/W2339900197","https://openalex.org/W2478708596","https://openalex.org/W2963650207","https://openalex.org/W3128947043","https://openalex.org/W4206180546","https://openalex.org/W4232857445","https://openalex.org/W4249446031","https://openalex.org/W4250955649","https://openalex.org/W6623808376","https://openalex.org/W6631362934","https://openalex.org/W6703970180","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2184289772","https://openalex.org/W4294328901","https://openalex.org/W3185610468","https://openalex.org/W2952582351","https://openalex.org/W4200428397","https://openalex.org/W2042150869","https://openalex.org/W4294397363","https://openalex.org/W2007786416","https://openalex.org/W2027890012","https://openalex.org/W4287069979"],"abstract_inverted_index":{"Parametric":[0],"estimation":[1,21,58],"for":[2],"the":[3,20,27,34,39,45,70,73,80],"generative":[4],"social":[5],"sensing":[6],"model":[7],"proposed":[8],"in":[9,24,65],"[19,20]":[10],"is":[11,51],"addressed.":[12],"First,":[13],"we":[14,54],"provide":[15],"a":[16],"detailed":[17],"analysis":[18],"of":[19,26,41,47],"performance":[22,82],"bounds,":[23],"terms":[25],"Fisher":[28,74],"information":[29],"matrix,":[30],"with":[31],"emphasis":[32],"on":[33],"fundamental":[35],"scaling":[36],"laws":[37],"as":[38],"number":[40,46],"network":[42],"agents":[43],"and/or":[44],"monitored":[48],"agents'":[49],"activities":[50],"large.":[52],"Then,":[53],"examine":[55],"two":[56],"viable":[57],"procedures":[59],"that":[60],"can":[61],"be":[62],"useful":[63],"even":[64],"such":[66],"large":[67],"dataset":[68],"applications:":[69],"Expectation-Maximization":[71],"and":[72],"scoring":[75],"algorithms,":[76],"which":[77],"both":[78],"achieve":[79],"aforementioned":[81],"bounds.":[83]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
