{"id":"https://openalex.org/W2295520632","doi":"https://doi.org/10.1007/978-3-319-25255-1_5","title":"Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks","display_name":"Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networks","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295520632","doi":"https://doi.org/10.1007/978-3-319-25255-1_5","mag":"2295520632"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25255-1_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-25255-1_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5100722697","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0003-1524-385X"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073684178","display_name":"Jun Pang","orcid":"https://orcid.org/0000-0002-4521-4112"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Jun Pang","raw_affiliation_strings":["Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg"],"affiliations":[{"raw_affiliation_string":"Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100722697"],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":46.3523,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.99926954,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9961000084877014,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.839730978012085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8132641911506653},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.7367867827415466},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5899657607078552},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5508183240890503},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.5299060344696045},{"id":"https://openalex.org/keywords/geographical-distance","display_name":"Geographical distance","score":0.5130313634872437},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5116918087005615},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4782368540763855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4580771327018738},{"id":"https://openalex.org/keywords/distance-education","display_name":"Distance education","score":0.4531363546848297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43507087230682373},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.4220314025878906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3588082194328308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0896318256855011},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07644551992416382}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.839730978012085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132641911506653},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.7367867827415466},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5899657607078552},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5508183240890503},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.5299060344696045},{"id":"https://openalex.org/C79876807","wikidata":"https://www.wikidata.org/wiki/Q3030660","display_name":"Geographical distance","level":3,"score":0.5130313634872437},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5116918087005615},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4782368540763855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4580771327018738},{"id":"https://openalex.org/C503872463","wikidata":"https://www.wikidata.org/wiki/Q159595","display_name":"Distance education","level":2,"score":0.4531363546848297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43507087230682373},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.4220314025878906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3588082194328308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0896318256855011},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07644551992416382},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25255-1_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-25255-1_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1982300822","https://openalex.org/W1995629273","https://openalex.org/W1997590279","https://openalex.org/W2006342384","https://openalex.org/W2012084072","https://openalex.org/W2013315566","https://openalex.org/W2048102542","https://openalex.org/W2066111998","https://openalex.org/W2090978188","https://openalex.org/W2110953678","https://openalex.org/W2121161839","https://openalex.org/W2121518724","https://openalex.org/W2126895033","https://openalex.org/W2133400794","https://openalex.org/W2140535046","https://openalex.org/W2168346693","https://openalex.org/W2189936406"],"related_works":["https://openalex.org/W2129888254","https://openalex.org/W2115336194","https://openalex.org/W4294624291","https://openalex.org/W1563946824","https://openalex.org/W2809929944","https://openalex.org/W2571943156","https://openalex.org/W3026655967","https://openalex.org/W3021724940","https://openalex.org/W2935702291","https://openalex.org/W2922447321"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}