{"id":"https://openalex.org/W4412377905","doi":"https://doi.org/10.1145/3726302.3730334","title":"SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing","display_name":"SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377905","doi":"https://doi.org/10.1145/3726302.3730334"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730334","doi":"https://doi.org/10.1145/3726302.3730334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730334","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730334","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108049836","display_name":"Xiaoqing Zhang","orcid":"https://orcid.org/0000-0002-4532-2156","observed_orcids":["https://orcid.org/0000-0002-4532-2156"]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Zhang","raw_affiliation_strings":["Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4532-2156","affiliations":[{"raw_affiliation_string":"Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350532","display_name":"Yuhan Liu","orcid":"https://orcid.org/0000-0003-2912-750X","observed_orcids":["https://orcid.org/0000-0003-2912-750X"]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Liu","raw_affiliation_strings":["Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2912-750X","affiliations":[{"raw_affiliation_string":"Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108119730","display_name":"Jianzhou Wang","orcid":"https://orcid.org/0009-0007-8864-1732","observed_orcids":["https://orcid.org/0009-0007-8864-1732"]},"institutions":[{"id":"https://openalex.org/I4405260227","display_name":"Moonshot AI (China)","ror":"https://ror.org/03ej19f56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405260227"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhou Wang","raw_affiliation_strings":["Moonshot AI, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-8864-1732","affiliations":[{"raw_affiliation_string":"Moonshot AI, Beijing, China","institution_ids":["https://openalex.org/I4405260227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064804717","display_name":"Zhenxing Hu","orcid":"https://orcid.org/0009-0000-2677-4416","observed_orcids":["https://orcid.org/0009-0000-2677-4416"]},"institutions":[{"id":"https://openalex.org/I4405260227","display_name":"Moonshot AI (China)","ror":"https://ror.org/03ej19f56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405260227"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxing Hu","raw_affiliation_strings":["Moonshot AI, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-2677-4416","affiliations":[{"raw_affiliation_string":"Moonshot AI, Beijing, China","institution_ids":["https://openalex.org/I4405260227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042441263","display_name":"Xiuying Chen","orcid":"https://orcid.org/0000-0002-6633-0796","observed_orcids":["https://orcid.org/0000-0002-6633-0796"]},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Xiuying Chen","raw_affiliation_strings":["Computer Science, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-6633-0796","affiliations":[{"raw_affiliation_string":"Computer Science, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823","observed_orcids":["https://orcid.org/0000-0002-3356-6823"]},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3356-6823","affiliations":[{"raw_affiliation_string":"Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.2951,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9761219,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3733","last_page":"3742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.002099999925121665,"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/T11644","display_name":"Spam and Phishing Detection","score":9.999999747378752e-05,"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/influencer-marketing","display_name":"influencer marketing","score":0.9750000238418579},{"id":"https://openalex.org/keywords/influencer-selection","display_name":"influencer selection","score":0.9309999942779541},{"id":"https://openalex.org/keywords/opinion-leaders","display_name":"opinion leaders","score":0.7570000290870667},{"id":"https://openalex.org/keywords/social-graphs","display_name":"social graphs","score":0.578000009059906},{"id":"https://openalex.org/keywords/weibo","display_name":"Weibo","score":0.7480000257492065},{"id":"https://openalex.org/keywords/user-interaction-history","display_name":"user interaction history","score":0.7229999899864197},{"id":"https://openalex.org/keywords/content-features","display_name":"content features","score":0.5199999809265137},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8659999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480773091316223},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5297418832778931},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5197179317474365},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5136041641235352},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46263617277145386},{"id":"https://openalex.org/C26011011","wikidata":"https://www.wikidata.org/wiki/Q6030243","display_name":"Influencer marketing","level":4,"score":0.42352184653282166},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4120534360408783},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.260697603225708},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.22745728492736816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21921393275260925},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20387136936187744},{"id":"https://openalex.org/C192975520","wikidata":"https://www.wikidata.org/wiki/Q1143466","display_name":"Marketing management","level":2,"score":0.11435499787330627},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11105319857597351},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09188622236251831},{"id":"https://openalex.org/C54649085","wikidata":"https://www.wikidata.org/wiki/Q574424","display_name":"Relationship marketing","level":3,"score":0.09036856889724731},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3726302.3730334","doi":"https://doi.org/10.1145/3726302.3730334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730334","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2403.15105","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.15105","pdf_url":"https://arxiv.org/pdf/2403.15105","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.15105","doi":"https://doi.org/10.48550/arxiv.2403.15105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.15105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730334","doi":"https://doi.org/10.1145/3726302.3730334","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730334","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730334","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377905.pdf","grobid_xml":"https://content.openalex.org/works/W4412377905.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1159540256","https://openalex.org/W2035165116","https://openalex.org/W2061820396","https://openalex.org/W2101196063","https://openalex.org/W2108614537","https://openalex.org/W2132801025","https://openalex.org/W2141403143","https://openalex.org/W2142869398","https://openalex.org/W2158021796","https://openalex.org/W2160411082","https://openalex.org/W2402355993","https://openalex.org/W2469279958","https://openalex.org/W2800223524","https://openalex.org/W2809583854","https://openalex.org/W2905279751","https://openalex.org/W2922366070","https://openalex.org/W2924581674","https://openalex.org/W3001111845","https://openalex.org/W3034870245","https://openalex.org/W3100932507","https://openalex.org/W3113029042","https://openalex.org/W3132246426","https://openalex.org/W4283801746","https://openalex.org/W4291719230","https://openalex.org/W4384642280","https://openalex.org/W4400994019","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W4297998858","https://openalex.org/W3032906336","https://openalex.org/W4387516697","https://openalex.org/W2997316009","https://openalex.org/W4285206610","https://openalex.org/W2888161589","https://openalex.org/W4298012679","https://openalex.org/W4285058228","https://openalex.org/W4246539208","https://openalex.org/W4361272692"],"abstract_inverted_index":{"Influencer":[0],"marketing":[1,68,85,116,133,177],"campaign":[2,86,169],"success":[3],"heavily":[4],"depends":[5],"on":[6],"identifying":[7],"key":[8],"opinion":[9],"leaders":[10],"who":[11],"can":[12],"effectively":[13],"leverage":[14],"their":[15,98],"credibility":[16],"and":[17,36,50,105,124,140,167],"reach":[18],"to":[19,61],"promote":[20],"products":[21],"or":[22],"services.The":[23],"selection":[24],"of":[25,66,131,150],"influencers":[26],"is":[27],"vital":[28],"for":[29,174],"boosting":[30],"brand":[31],"visibility,":[32],"fostering":[33],"consumer":[34],"trust,":[35],"driving":[37],"sales.While":[38],"traditional":[39,138],"research":[40],"often":[41],"simplifies":[42],"complex":[43],"factors":[44],"like":[45],"user":[46,95,120],"attitudes,":[47],"interaction":[48,100,126],"frequency,":[49],"advertising":[51,155],"content,":[52],"into":[53],"simple":[54],"numerical":[55],"values.However,":[56],"this":[57,71,181],"reductionist":[58],"approach":[59],"fails":[60],"capture":[62],"the":[63,147],"dynamic":[64],"nature":[65],"influencer":[67,115,132,176],"effectiveness.To":[69],"bridge":[70],"gap,":[72],"we":[73],"present":[74],"SAGraph,":[75],"a":[76],"novel":[77],"comprehensive":[78],"dataset":[79,92,182],"from":[80],"Weibo":[81],"that":[82,159,180],"captures":[83],"multi-dimensional":[84],"data":[87],"across":[88,108],"six":[89],"product":[90],"domains.The":[91],"encompasses":[93],"345,039":[94],"profiles":[96],"with":[97],"complete":[99],"histories,":[101],"including":[102],"1.3M":[103],"comments":[104],"554K":[106],"reposts":[107],"44K":[109],"posts,":[110],"providing":[111],"unprecedented":[112],"granularity":[113],"in":[114,153,165],"dynamics.SAGraph":[117],"uniquely":[118],"integrates":[119],"profiles,":[121],"content":[122,151],"features,":[123],"temporal":[125],"patterns,":[127],"enabling":[128],"in-depth":[129],"analysis":[130,152],"mechanisms.Experimental":[134],"results":[135],"using":[136],"both":[137],"baselines":[139],"state-of-the-art":[141],"large":[142],"language":[143],"models":[144],"(LLMs)":[145],"demonstrate":[146],"crucial":[148],"role":[149],"predicting":[154,168],"effectiveness.Our":[156],"findings":[157],"reveal":[158],"LLM-based":[160],"approaches":[161],"achieve":[162],"superior":[163],"performance":[164],"understanding":[166],"success,":[170],"opening":[171],"new":[172],"avenues":[173],"data-driven":[175],"strategies.We":[178],"hope":[179],"will":[183],"inspire":[184],"further":[185],"research:":[186],"https":[187]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}