{"id":"https://openalex.org/W4323520141","doi":"https://doi.org/10.1145/3578741.3578750","title":"Relevance calculation of users' document sending behavior under the network social platform","display_name":"Relevance calculation of users' document sending behavior under the network social platform","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4323520141","doi":"https://doi.org/10.1145/3578741.3578750"},"language":"en","primary_location":{"id":"doi:10.1145/3578741.3578750","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3578741.3578750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing","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/A5089578557","display_name":"Qian Cheng","orcid":"https://orcid.org/0000-0002-8629-6580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian Cheng","raw_affiliation_strings":["Zhengzhou Xinda Institute of Advanced Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8629-6580","affiliations":[{"raw_affiliation_string":"Zhengzhou Xinda Institute of Advanced Technology, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049401701","display_name":"Youwei Zhang","orcid":"https://orcid.org/0000-0002-5089-2153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youwei Zhang","raw_affiliation_strings":["Zhengzhou Xinda Institute of Advanced Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5089-2153","affiliations":[{"raw_affiliation_string":"Zhengzhou Xinda Institute of Advanced Technology, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010038567","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0003-0120-6935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Xue","raw_affiliation_strings":["Zhengzhou Xinda Institute of Advanced Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0120-6935","affiliations":[{"raw_affiliation_string":"Zhengzhou Xinda Institute of Advanced Technology, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021461284","display_name":"Fangli Ge","orcid":"https://orcid.org/0000-0001-5867-2262"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangli Ge","raw_affiliation_strings":["Zhengzhou Xinda Institute of Advanced Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-5867-2262","affiliations":[{"raw_affiliation_string":"Zhengzhou Xinda Institute of Advanced Technology, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008603464","display_name":"Wenqing Yao","orcid":"https://orcid.org/0000-0003-1298-0969"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenqing Yao","raw_affiliation_strings":["Zhengzhou Xinda Institute of Advanced Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-1298-0969","affiliations":[{"raw_affiliation_string":"Zhengzhou Xinda Institute of Advanced Technology, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9667999744415283,"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":0.9667999744415283,"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":0.9305999875068665,"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/computer-science","display_name":"Computer science","score":0.7841736078262329},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7564939260482788},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6831904053688049},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6308008432388306},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5823857188224792},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5783928036689758},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5051787495613098},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4531361162662506},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4416450262069702},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41812485456466675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40036970376968384},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.29958826303482056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27131372690200806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841736078262329},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7564939260482788},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6831904053688049},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6308008432388306},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5823857188224792},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5783928036689758},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5051787495613098},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4531361162662506},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4416450262069702},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41812485456466675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40036970376968384},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.29958826303482056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27131372690200806},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578741.3578750","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3578741.3578750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W2894231409","https://openalex.org/W3127365535","https://openalex.org/W2995297654"],"abstract_inverted_index":{"The":[0,25,100,124],"correlation":[1,62],"calculation":[2],"of":[3,19,31,49,63,76,112,129,145],"online":[4],"users'":[5],"posting":[6],"behavior":[7,66],"is":[8,105],"studied":[9],"as":[10,92],"the":[11,15,29,32,36,41,46,50,56,61,64,72,84,109,127,130,141],"core":[12],"part":[13],"in":[14,71,102],"analysis":[16,73,142],"and":[17,39,53,74,82,122,133,137,143],"characterization":[18,75,144],"Internet":[20],"user":[21,78,97,147],"entity":[22,79,148],"identity":[23,80,85,149],"association.":[24],"paper":[26,104],"will":[27],"complete":[28],"processing":[30],"information":[33],"posted":[34,51,65],"by":[35],"network":[37,77,96,146],"users":[38],"train":[40],"bag-of-words":[42],"model":[43],"to":[44,59,93],"obtain":[45],"feature":[47],"vector":[48],"information,":[52,67],"then":[54],"use":[55],"distance":[57],"formula":[58],"calculate":[60],"which":[68],"can":[69],"assist":[70],"association":[81],"associate":[83],"relationship":[86,98],"between":[87],"multiple":[88],"virtual":[89],"users,":[90],"so":[91],"build":[94],"a":[95],"network.":[99],"method":[101,138],"this":[103],"experimentally":[106],"verified":[107],"on":[108],"published":[110],"data":[111],"WeChat":[113],"public":[114],"account,":[115],"using":[116],"three":[117],"training":[118],"models,":[119],"Word2Vec,":[120],"CNN":[121],"Seq2Seq.":[123],"results":[125],"prove":[126],"effectiveness":[128],"text":[131],"method,":[132],"provide":[134],"research":[135],"ideas":[136],"support":[139],"for":[140],"associations.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}