{"id":"https://openalex.org/W2045099409","doi":"https://doi.org/10.1145/2396761.2396792","title":"Multi-scale link prediction","display_name":"Multi-scale link prediction","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2045099409","doi":"https://doi.org/10.1145/2396761.2396792","mag":"2045099409"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2396792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396792","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 international conference on Information and knowledge management","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/A5018505448","display_name":"Donghyuk Shin","orcid":"https://orcid.org/0000-0001-8687-0258"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donghyuk Shin","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA","University of Texas at Austin, Austin, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001215167","display_name":"Si Si","orcid":"https://orcid.org/0000-0002-2406-7221"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Si Si","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA","University of Texas at Austin, Austin, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063459703","display_name":"Inderjit S. Dhillon","orcid":"https://orcid.org/0000-0002-2759-1416"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Inderjit S. Dhillon","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA","University of Texas at Austin, Austin, TX USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":4.8996,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9520438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9934999942779541,"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":0.9934999942779541,"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/T10057","display_name":"Face and Expression Recognition","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9865000247955322,"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/closeness","display_name":"Closeness","score":0.8261064291000366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599721550941467},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7545689940452576},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.636431872844696},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6210044026374817},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5742583870887756},{"id":"https://openalex.org/keywords/link-analysis","display_name":"Link analysis","score":0.4851978123188019},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4808376729488373},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.46753546595573425},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44716158509254456},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4266999661922455},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4215976595878601},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.410840779542923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39598536491394043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3055170178413391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26375845074653625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16046634316444397},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.11130461096763611},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10768574476242065}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.8261064291000366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599721550941467},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7545689940452576},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.636431872844696},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6210044026374817},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5742583870887756},{"id":"https://openalex.org/C1173588","wikidata":"https://www.wikidata.org/wiki/Q6554294","display_name":"Link analysis","level":2,"score":0.4851978123188019},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4808376729488373},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.46753546595573425},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44716158509254456},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4266999661922455},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4215976595878601},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.410840779542923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39598536491394043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3055170178413391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26375845074653625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16046634316444397},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.11130461096763611},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10768574476242065},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2396761.2396792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396792","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 international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.258.8619","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.258.8619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/users/inderjit/public_papers/mslp_cikm2012.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.759.9440","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.759.9440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1206.1891.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W321429746","https://openalex.org/W1556758605","https://openalex.org/W1560267311","https://openalex.org/W1864134408","https://openalex.org/W2001344462","https://openalex.org/W2003707464","https://openalex.org/W2016170913","https://openalex.org/W2026417691","https://openalex.org/W2057504236","https://openalex.org/W2102523324","https://openalex.org/W2107569009","https://openalex.org/W2112327279","https://openalex.org/W2125082260","https://openalex.org/W2130789338","https://openalex.org/W2131112624","https://openalex.org/W2135957668","https://openalex.org/W2144970169","https://openalex.org/W2146591355","https://openalex.org/W2151078464","https://openalex.org/W2154454189","https://openalex.org/W2157082398","https://openalex.org/W2182951319","https://openalex.org/W2420733993","https://openalex.org/W2768375068","https://openalex.org/W3101413764","https://openalex.org/W3122868618"],"related_works":["https://openalex.org/W2380760159","https://openalex.org/W2305543783","https://openalex.org/W2963128065","https://openalex.org/W2583864867","https://openalex.org/W1598884124","https://openalex.org/W2377904462","https://openalex.org/W2074640979","https://openalex.org/W2322922235","https://openalex.org/W2351568302","https://openalex.org/W2992119116"],"abstract_inverted_index":{"The":[0,24,135],"automated":[1],"analysis":[2,43],"of":[3,15,26,51,62,112,138,145],"social":[4,16,28,41],"networks":[5,29],"has":[6],"become":[7],"an":[8,59,152],"important":[9,38,60],"problem":[10,39,90],"due":[11],"to":[12,34,87,92,108,141],"the":[13,49,110,113,146],"proliferation":[14],"networks,":[17],"such":[18],"as":[19],"LiveJournal,":[20],"Flickr":[21],"and":[22,32,76],"Facebook.":[23],"scale":[25],"these":[27],"is":[30,44,58,91,140],"massive":[31,133],"continues":[33],"grow":[35],"rapidly.":[36],"An":[37],"in":[40,56,151],"network":[42,147],"proximity":[45,63,70,94],"estimation":[46],"that":[47],"infers":[48],"closeness":[50],"different":[52],"users.":[53],"Link":[54,122],"prediction,":[55,129],"turn,":[57],"application":[61],"estimation.":[64],"However,":[65,99],"many":[66],"methods":[67],"for":[68,80,127],"computing":[69],"measures":[71,95],"have":[72],"high":[73],"computational":[74],"complexity":[75],"are":[77],"thus":[78],"prohibitive":[79],"large-scale":[81],"link":[82,128],"prediction":[83],"problems.":[84],"One":[85],"way":[86],"address":[88],"this":[89,117],"estimate":[93],"via":[96],"low-rank":[97,102,143],"approximation.":[98],"a":[100,125,160],"single":[101],"approximation":[103,163],"may":[104],"not":[105],"be":[106],"sufficient":[107],"represent":[109],"behavior":[111],"entire":[114],"network.":[115],"In":[116],"paper,":[118],"we":[119,158],"propose":[120,159],"Multi-Scale":[121],"Prediction":[123],"(MSLP),":[124],"framework":[126],"which":[130],"can":[131],"handle":[132],"networks.":[134],"basic":[136],"idea":[137],"MSLP":[139],"construct":[142],"approximations":[144],"at":[148],"multiple":[149],"scales":[150],"efficient":[153],"manner.":[154],"To":[155],"achieve":[156],"this,":[157],"fast":[161],"tree-structured":[162],"algorithm.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}