{"id":"https://openalex.org/W2122134788","doi":"https://doi.org/10.1109/tsp.2011.2122261","title":"A Diffusion Approach to Network Localization","display_name":"A Diffusion Approach to Network Localization","publication_year":2011,"publication_date":"2011-03-04","ids":{"openalex":"https://openalex.org/W2122134788","doi":"https://doi.org/10.1109/tsp.2011.2122261","mag":"2122134788"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2122261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2122261","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5031057283","display_name":"Yosi Keller","orcid":"https://orcid.org/0000-0002-2876-2790"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yosi Keller","raw_affiliation_strings":["School of Engineering, Bar-llan University, Ramat-Gan, Israel","Sch. of Eng., Bar Ilan Univ., Ramat Gan, Israel"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Bar-llan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Sch. of Eng., Bar Ilan Univ., Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027868086","display_name":"Yaniv Gur","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaniv Gur","raw_affiliation_strings":["SCI Institute, University of Utah, Salt Lake, UT, USA","SCI Institute, University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"SCI Institute, University of Utah, Salt Lake, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"SCI Institute, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031057283"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":1.3781,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81735299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"6","first_page":"2642","last_page":"2654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6225491762161255},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6070598363876343},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6058142781257629},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5419905781745911},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.452513724565506},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4451926648616791},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3639318346977234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2680414319038391},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07051807641983032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6225491762161255},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6070598363876343},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6058142781257629},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5419905781745911},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.452513724565506},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4451926648616791},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3639318346977234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2680414319038391},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07051807641983032},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2011.2122261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2122261","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1485071356","https://openalex.org/W1578099820","https://openalex.org/W1970950689","https://openalex.org/W1983874789","https://openalex.org/W1988543519","https://openalex.org/W2037402401","https://openalex.org/W2049444669","https://openalex.org/W2051327384","https://openalex.org/W2054692776","https://openalex.org/W2057197276","https://openalex.org/W2065569293","https://openalex.org/W2067752346","https://openalex.org/W2078815901","https://openalex.org/W2086342204","https://openalex.org/W2097308346","https://openalex.org/W2098175396","https://openalex.org/W2104780023","https://openalex.org/W2104782624","https://openalex.org/W2104900626","https://openalex.org/W2110720112","https://openalex.org/W2110862165","https://openalex.org/W2116618388","https://openalex.org/W2119640668","https://openalex.org/W2124178852","https://openalex.org/W2126833874","https://openalex.org/W2130207243","https://openalex.org/W2130420190","https://openalex.org/W2146281661","https://openalex.org/W2150843948","https://openalex.org/W2156115405","https://openalex.org/W2156865565","https://openalex.org/W2157837631","https://openalex.org/W2161249924","https://openalex.org/W2165295831","https://openalex.org/W2168452204","https://openalex.org/W2974082611","https://openalex.org/W3105364218","https://openalex.org/W4213367101","https://openalex.org/W6629133481","https://openalex.org/W6663330646","https://openalex.org/W6675901694","https://openalex.org/W6768209264"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W2079194830"],"abstract_inverted_index":{"The":[0],"localization":[1],"of":[2,17,35,47,51,106,123],"nodes":[3,37],"on":[4],"a":[5,8,15,28,48,96,120],"network":[6,24,36],"is":[7],"challenging":[9],"research":[10],"topic.":[11],"It":[12],"arises":[13],"in":[14],"variety":[16],"applications":[18],"such":[19],"as":[20],"communications":[21],"and":[22,40,44],"sensor":[23],"analysis.":[25],"We":[26,115],"propose":[27,76],"computational":[29],"approach":[30],"to":[31,58,77,83,94,111],"recovering":[32],"the":[33,45,66,91,107,112],"positions":[34,46],"given":[38,69],"partial":[39,71],"corrupted":[41],"distance":[42,72],"measurements,":[43],"small":[49],"subset":[50],"anchor":[52,108],"nodes.":[53],"First,":[54],"we":[55,75,89],"show":[56,117],"how":[57],"derive":[59,84],"geometrically":[60],"adaptive":[61],"diffusion":[62,80,86,92],"bases":[63,81],"defined":[64],"over":[65],"entire":[67,113],"network,":[68],"only":[70],"measurements.":[73],"Second,":[74],"utilize":[78,90],"several":[79],"simultaneously":[82],"multiscale":[85],"frames.":[87],"Last,":[88],"frames":[93],"formulate":[95],"<i":[97],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[98,101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</i>":[99],"<sub":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[102],"regression":[103],"based":[104],"extension":[105],"points":[109],"coordinates":[110],"network.":[114],"experimentally":[116],"that":[118],"under":[119],"wide":[121],"range":[122],"conditions":[124],"our":[125],"method":[126],"compares":[127],"favorably":[128],"with":[129],"state-of-the-art":[130],"approaches.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}