{"id":"https://openalex.org/W1986051614","doi":"https://doi.org/10.1145/2661829.2662040","title":"Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection","display_name":"Ranking-based Clustering on General Heterogeneous Information Networks by Network Projection","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1986051614","doi":"https://doi.org/10.1145/2661829.2662040","mag":"1986051614"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100705849","display_name":"Chuan Shi","orcid":"https://orcid.org/0000-0002-3734-0266"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447534","display_name":"Ran Wang","orcid":"https://orcid.org/0009-0003-7747-3471"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413882","display_name":"Yitong Li","orcid":"https://orcid.org/0000-0003-3567-1544"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitong Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, China","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043114890","display_name":"Bin Wu","orcid":"https://orcid.org/0000-0001-5787-9536"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"699","last_page":"708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9968000054359436,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7935881614685059},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7897036671638489},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5953868627548218},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5619645118713379},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.5342236161231995},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4925137460231781},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35121458768844604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32676616311073303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3125777840614319},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.11117887496948242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7935881614685059},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7897036671638489},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5953868627548218},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5619645118713379},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.5342236161231995},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4925137460231781},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35121458768844604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32676616311073303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3125777840614319},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.11117887496948242},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2662040","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2774466250","display_name":"\u9762\u5411\u4e0d\u786e\u5b9a\u6027\u7684Web2.0\u7528\u6237\u521b\u4f5c\u5185\u5bb9\u7ba1\u7406\u7814\u7a76","funder_award_id":"71231002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3198031122","display_name":null,"funder_award_id":"Nos. 61375058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7490896203","display_name":null,"funder_award_id":"2013CB329603","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G8566065207","display_name":null,"funder_award_id":"MCM20130351","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1977998106","https://openalex.org/W2020504153","https://openalex.org/W2063149926","https://openalex.org/W2066636486","https://openalex.org/W2095293504","https://openalex.org/W2098348249","https://openalex.org/W2098711168","https://openalex.org/W2110896767","https://openalex.org/W2117831564","https://openalex.org/W2140000690","https://openalex.org/W2149288670","https://openalex.org/W2150461699","https://openalex.org/W2152755144","https://openalex.org/W2154946202","https://openalex.org/W2162010993","https://openalex.org/W2163554907","https://openalex.org/W2166914830","https://openalex.org/W2168175183","https://openalex.org/W2193241362","https://openalex.org/W2538492099"],"related_works":["https://openalex.org/W1927327903","https://openalex.org/W1544665982","https://openalex.org/W2022479666","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2805504328","https://openalex.org/W4298130764","https://openalex.org/W2915512527","https://openalex.org/W2804364458","https://openalex.org/W51364034"],"abstract_inverted_index":{"Recently":[0],"there":[1],"is":[2,87,142,158],"an":[3,138],"increasing":[4],"attention":[5],"in":[6,31,99,114],"heterogeneous":[7,32,67,100,117,130],"information":[8,118,139],"network":[9,119,131],"analysis,":[10],"which":[11,35,167],"models":[12],"networked":[13],"data":[14,25,79],"as":[15],"networks":[16,68,101],"including":[17],"different":[18],"types":[19],"of":[20,135,165],"objects":[21,96,166],"and":[22,37,83,97,120,137,173,198],"relations.":[23],"Many":[24],"mining":[26],"tasks":[27,45],"have":[28],"been":[29],"exploited":[30],"networks,":[33],"among":[34,148],"clustering":[36,112,172,197],"ranking":[38,174,199],"are":[39,46,64,80],"two":[40,44],"basic":[41],"tasks.":[42],"These":[43],"usually":[47],"done":[48],"separately,":[49],"whereas":[50],"recent":[51],"researches":[52],"show":[53],"that":[54,192],"they":[55],"can":[56,168,194],"mutually":[57],"enhance":[58],"each":[59,151,178],"other.":[60],"Unfortunately,":[61],"these":[62],"works":[63],"limited":[65],"to":[66,89,94,144,160,181,202],"with":[69,102],"special":[70],"structures":[71],"(e.g.":[72],"bipartite":[73],"or":[74],"star-schema":[75],"network).":[76],"However,":[77],"real":[78,189],"more":[81],"complex":[82],"irregular,":[84],"so":[85],"it":[86],"desirable":[88],"design":[90],"a":[91,115,122,128,133,153],"general":[92,116,129],"method":[93],"manage":[95],"relations":[98],"arbitrary":[103],"schema.":[104],"In":[105],"this":[106],"paper,":[107],"we":[108],"study":[109],"the":[110,146,162],"ranking-based":[111,183],"problem":[113],"propose":[121],"novel":[123],"solution":[124],"HeProjI.":[125],"HeProjI":[126,193],"projects":[127],"into":[132],"sequence":[134],"sub-networks":[136],"transfer":[140],"mechanism":[141],"designed":[143],"keep":[145],"consistency":[147],"sub-networks.":[149],"For":[150],"sub-network,":[152],"path-based":[154],"random":[155],"walk":[156],"model":[157],"built":[159],"estimate":[161],"reachable":[163],"probability":[164],"be":[169],"used":[170],"for":[171],"analysis.":[175],"Iteratively":[176],"analyzing":[177],"sub-network":[179],"leads":[180],"effective":[182],"clustering.":[184],"Extensive":[185],"experiments":[186],"on":[187],"three":[188],"datasets":[190],"illustrate":[191],"achieve":[195],"better":[196],"performances":[200],"compared":[201],"other":[203],"well-established":[204],"algorithms.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}