{"id":"https://openalex.org/W2911347885","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633089","title":"Integrating Binary Similarity Measures in the Link Prediction Task","display_name":"Integrating Binary Similarity Measures in the Link Prediction Task","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2911347885","doi":"https://doi.org/10.1109/cisp-bmei.2018.8633089","mag":"2911347885"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2018.8633089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5052630971","display_name":"Alfredo Milani","orcid":"https://orcid.org/0000-0003-4534-1805"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alfredo Milani","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022438396","display_name":"Valentina Franzoni","orcid":"https://orcid.org/0000-0002-2972-7188"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Valentina Franzoni","raw_affiliation_strings":["Department of Computer Control and Management Engineering, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Control and Management Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053078895","display_name":"Giulio Biondi","orcid":"https://orcid.org/0000-0002-1854-2196"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Biondi","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084090218","display_name":"Yuanxi Li","orcid":"https://orcid.org/0000-0003-0333-6039"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanxi Li","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052630971"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":0.1508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50629563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443587779998779},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7248552441596985},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.6359087228775024},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6302803158760071},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5961438417434692},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5619985461235046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5585584044456482},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5259734988212585},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4361017942428589},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4317502975463867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3858473300933838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3603340983390808},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3283287584781647},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13809064030647278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443587779998779},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7248552441596985},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.6359087228775024},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6302803158760071},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5961438417434692},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5619985461235046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5585584044456482},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5259734988212585},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4361017942428589},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4317502975463867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3858473300933838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3603340983390808},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3283287584781647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13809064030647278},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2018.8633089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2018.8633089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W114534726","https://openalex.org/W304362480","https://openalex.org/W1515833219","https://openalex.org/W1935094344","https://openalex.org/W1979104937","https://openalex.org/W2026417691","https://openalex.org/W2037933327","https://openalex.org/W2082813186","https://openalex.org/W2097932520","https://openalex.org/W2108614537","https://openalex.org/W2111708605","https://openalex.org/W2131466215","https://openalex.org/W2286388886","https://openalex.org/W2294347342","https://openalex.org/W2308071406","https://openalex.org/W2600126064","https://openalex.org/W2745750801","https://openalex.org/W2755088640","https://openalex.org/W2952431634"],"related_works":["https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W2150182025","https://openalex.org/W4246980185","https://openalex.org/W4317039510","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W1787322086"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"investigate":[4],"the":[5,14,24,37,50,80,84,90],"applicability":[6],"of":[7,16,26,40,49,61],"binary":[8,77],"similarity":[9,20,25],"and":[10,69,87],"distance":[11],"measures":[12,21,55,78],"in":[13,28,58,79,94],"context":[15],"Link":[17,62],"Prediction.":[18],"Neighbourhood-based":[19,54],"to":[22,75],"assess":[23],"nodes":[27],"a":[29,46,59],"network":[30,51],"have":[31,99],"been":[32,101],"long":[33],"available.":[34],"They":[35],"boast":[36],"main":[38],"advantage":[39],"low":[41],"calculation":[42],"complexity,":[43],"because":[44],"only":[45],"local":[47],"view":[48],"is":[52,73],"required.":[53],"are":[56],"used":[57],"variety":[60],"Prediction":[63],"applications,":[64],"including":[65],"bioinformatics,":[66],"bibliographic":[67],"networks":[68],"recommender":[70],"systems.":[71],"It":[72],"possible":[74],"use":[76],"same":[81,85],"context,":[82],"retaining":[83],"prerogatives":[86],"possibly":[88],"increasing":[89],"link":[91],"prediction":[92],"performances":[93],"domain-specific":[95],"tasks.":[96],"Preliminary":[97],"studies":[98],"also":[100],"conducted":[102],"on":[103],"widely-accepted":[104],"data":[105],"sets.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
