{"id":"https://openalex.org/W2798303035","doi":"https://doi.org/10.1145/3183713.3199670","title":"Finding Seeds and Relevant Tags Jointly","display_name":"Finding Seeds and Relevant Tags Jointly","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798303035","doi":"https://doi.org/10.1145/3183713.3199670","mag":"2798303035"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3199670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3199670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","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/A5071521429","display_name":"Xiangyu Ke","orcid":"https://orcid.org/0000-0001-8082-7398"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xiangyu Ke","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019024971","display_name":"Arijit Khan","orcid":"https://orcid.org/0000-0002-7312-6312"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arijit Khan","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071521429"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":2.1114,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.87334674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1097","last_page":"1111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11478","display_name":"Caching and Content Delivery","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7796543836593628},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.7658793926239014},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7650562524795532},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6398114562034607},{"id":"https://openalex.org/keywords/viral-marketing","display_name":"Viral marketing","score":0.5568116903305054},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5363951921463013},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5298399925231934},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5263869762420654},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4594799280166626},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45273464918136597},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3916831314563751},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36441391706466675},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28969091176986694},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2718055844306946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2479250431060791},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.23477962613105774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14198005199432373},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12441730499267578},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08782202005386353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796543836593628},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.7658793926239014},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7650562524795532},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6398114562034607},{"id":"https://openalex.org/C187008535","wikidata":"https://www.wikidata.org/wiki/Q204255","display_name":"Viral marketing","level":3,"score":0.5568116903305054},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5363951921463013},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5298399925231934},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5263869762420654},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4594799280166626},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45273464918136597},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3916831314563751},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36441391706466675},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28969091176986694},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2718055844306946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2479250431060791},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.23477962613105774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14198005199432373},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12441730499267578},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08782202005386353},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3199670","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3183713.3199670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W988017883","https://openalex.org/W1680189815","https://openalex.org/W1856548066","https://openalex.org/W1944367023","https://openalex.org/W1984069252","https://openalex.org/W1991635064","https://openalex.org/W2000922801","https://openalex.org/W2035165116","https://openalex.org/W2053105309","https://openalex.org/W2061820396","https://openalex.org/W2069902889","https://openalex.org/W2077961829","https://openalex.org/W2096130203","https://openalex.org/W2103126699","https://openalex.org/W2131058166","https://openalex.org/W2137442080","https://openalex.org/W2141403143","https://openalex.org/W2166470254","https://openalex.org/W2185001246","https://openalex.org/W2295428206","https://openalex.org/W2398784425","https://openalex.org/W2402355993","https://openalex.org/W2424898826","https://openalex.org/W2536210830","https://openalex.org/W2614040945","https://openalex.org/W2963122331","https://openalex.org/W3118655244","https://openalex.org/W4248946475"],"related_works":["https://openalex.org/W2902193799","https://openalex.org/W2046658895","https://openalex.org/W2269573953","https://openalex.org/W2465338762","https://openalex.org/W2939506735","https://openalex.org/W2770232349","https://openalex.org/W2729460574","https://openalex.org/W2558516130","https://openalex.org/W4289866588","https://openalex.org/W2998073084"],"abstract_inverted_index":{"-1mmWe":[0],"study":[1],"the":[2,8,14,30,37,46,55,58,70,79,96,125,131,136,143,153,156],"novel":[3,126],"problem":[4,127],"of":[5,29,84,110,128,149,155],"jointly":[6,129],"finding":[7,130],"top-":[9,15,47,137],"k":[10,48],"seed":[11,49,133],"nodes":[12,134],"and":[13,45,123,135,170,178],"r":[16,138],"relevant":[17,139],"tags":[18,140],"for":[19],"targeted":[20],"influence":[21,33,38,77,144,157],"maximization":[22,34,158],"in":[23,57,62,75,113],"a":[24,82,103,107,146],"social":[25,76],"network.":[26],"The":[27],"bulk":[28],"research":[31],"on":[32,69,94],"assumes":[35],"that":[36,81,141],"diffusion":[39],"probabilities":[40,66],"across":[41],"edges":[42],"are":[43,51],"fixed,":[44],"users":[50],"identified":[52],"to":[53,152],"maximize":[54,142],"cascade":[56],"entire":[59],"graph.":[60],"However,":[61],"real-world":[63],"applications,":[64],"edge":[65],"typically":[67],"depend":[68],"information":[71],"being":[72],"cascaded,":[73],"e.g.,":[74],"networks,":[78],"probability":[80],"tweet":[83,97],"some":[85],"user":[86],"will":[87],"be":[88],"re-tweeted":[89],"by":[90],"her":[91],"followers":[92],"depends":[93],"whether":[95],"contains":[98],"specific":[99,108],"hashtags.":[100],"In":[101,115],"addition,":[102],"campaigner":[104],"often":[105],"has":[106],"group":[109],"target":[111,147,175],"customers":[112],"mind.":[114],"this":[116],"work,":[117],"we":[118,160],"model":[119],"such":[120],"practical":[121],"constraints,":[122],"investigate":[124],"top-k":[132],"inside":[145],"set":[148],"users.":[150],"Due":[151],"hardness":[154],"problem,":[159],"develop":[161],"heuristic":[162],"solutions":[163],"---":[164],"with":[165],"smart":[166],"indexing,":[167],"iterative":[168],"algorithms,":[169],"good":[171],"initial":[172],"conditions,":[173],"which":[174],"high-quality,":[176],"efficiency,":[177],"scalability.":[179],"-1mm":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}