{"id":"https://openalex.org/W2072885877","doi":"https://doi.org/10.1145/1810617.1810641","title":"Link prediction applied to an open large-scale online social network","display_name":"Link prediction applied to an open large-scale online social network","publication_year":2010,"publication_date":"2010-06-13","ids":{"openalex":"https://openalex.org/W2072885877","doi":"https://doi.org/10.1145/1810617.1810641","mag":"2072885877"},"language":"en","primary_location":{"id":"doi:10.1145/1810617.1810641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1810617.1810641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM conference on Hypertext and hypermedia","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/A5084060309","display_name":"Dan Corlette","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dan Corlette","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077860280","display_name":"Frank Shipman","orcid":"https://orcid.org/0009-0007-1469-9835"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank M. Shipman","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084060309"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.1558,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79555046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9969000220298767,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9726999998092651,"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":0.7555896043777466},{"id":"https://openalex.org/keywords/openness-to-experience","display_name":"Openness to experience","score":0.6698559522628784},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6435754299163818},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.570254921913147},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5411332249641418},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5282347202301025},{"id":"https://openalex.org/keywords/friendship","display_name":"Friendship","score":0.4971649944782257},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45515507459640503},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.42239296436309814},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34644800424575806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34642642736434937},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3145705759525299},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.21734467148780823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08739233016967773}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555896043777466},{"id":"https://openalex.org/C84976871","wikidata":"https://www.wikidata.org/wiki/Q2015673","display_name":"Openness to experience","level":2,"score":0.6698559522628784},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6435754299163818},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.570254921913147},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5411332249641418},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5282347202301025},{"id":"https://openalex.org/C2778736484","wikidata":"https://www.wikidata.org/wiki/Q491","display_name":"Friendship","level":2,"score":0.4971649944782257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45515507459640503},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.42239296436309814},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34644800424575806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34642642736434937},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3145705759525299},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.21734467148780823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08739233016967773},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1145/1810617.1810641","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1810617.1810641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM conference on Hypertext and hypermedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1994687138","https://openalex.org/W2048382188","https://openalex.org/W2098624171","https://openalex.org/W2112090702","https://openalex.org/W2115022330","https://openalex.org/W2122710250","https://openalex.org/W2138890364","https://openalex.org/W2151078464","https://openalex.org/W2154454189","https://openalex.org/W2420733993"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2955875337","https://openalex.org/W2065835655","https://openalex.org/W2075666982","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170","https://openalex.org/W1594712698"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"experiments":[5],"examining":[6],"the":[7,43,47,53,61,63,66,71,86,90,99,120,124,133,140,143,151],"practicality":[8],"of":[9,30,37,46,52,65,101,128,139,145,156],"applying":[10,102],"link":[11,103,129,158],"prediction":[12,104,111,130,159],"to":[13,77,92],"an":[14,161],"open":[15,44,162],"large-scale":[16,163],"online":[17,164],"social":[18,165],"network.":[19,141,166],"We":[20,40,82],"rely":[21],"on":[22,74],"metrics":[23],"that":[24,110,123],"are":[25,113],"strictly":[26],"topological,":[27],"making":[28],"use":[29],"one":[31,36],"previously":[32],"identified":[33],"metric":[34],"and":[35,60,97,122,126],"our":[38,75,146,148],"own.":[39],"directly":[41],"address":[42],"nature":[45],"network":[48,67,91,121],"through":[49],"a":[50],"study":[51],"linking":[54],"dynamics":[55],"over":[56],"time":[57,87],"between":[58],"users":[59,69,84,117,135],"effect":[62,100],"openness":[64],"(i.e.":[68],"entering/leaving":[70],"network)":[72],"has":[73],"ability":[76],"predict":[78],"new":[79],"friendship":[80],"links.":[81],"follow":[83],"from":[85],"they":[88],"enter":[89],"10":[93],"months":[94],"after":[95,116],"joining":[96],"examine":[98],"at":[105],"different":[106],"points.":[107],"Analysis":[108],"shows":[109],"results":[112,131],"best":[114,144],"shortly":[115],"have":[118,136],"entered":[119],"precision":[125],"recall":[127],"diminish":[132],"longer":[134],"been":[137],"members":[138],"To":[142],"knowledge,":[147],"analysis":[149],"is":[150],"most":[152],"comprehensive":[153],"in":[154,160],"terms":[155],"analyzing":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}