{"id":"https://openalex.org/W2981367371","doi":"https://doi.org/10.1145/3358528.3358540","title":"A Framework for Detecting Key Topics in Social Networks","display_name":"A Framework for Detecting Key Topics in Social Networks","publication_year":2019,"publication_date":"2019-08-28","ids":{"openalex":"https://openalex.org/W2981367371","doi":"https://doi.org/10.1145/3358528.3358540","mag":"2981367371"},"language":"en","primary_location":{"id":"doi:10.1145/3358528.3358540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Technologies","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/A5042061834","display_name":"Peng Han","orcid":"https://orcid.org/0000-0001-9581-7256"},"institutions":[{"id":"https://openalex.org/I4210130035","display_name":"China Communications Construction Company (China)","ror":"https://ror.org/03q3een69","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210130035"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Han","raw_affiliation_strings":["China Communications Construction Group Design Institute Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Communications Construction Group Design Institute Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210130035"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101455079","display_name":"Ning Zhou","orcid":"https://orcid.org/0000-0002-6890-6488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Zhou","raw_affiliation_strings":["National Digital Switching System Engineering R&D Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering R&D Center, Zhengzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6585,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69133209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9975000023841858,"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/key","display_name":"Key (lock)","score":0.782859206199646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810236215591431},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6781569123268127},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5784886479377747},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5362725853919983},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4842545688152313},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46921172738075256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4626164734363556},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.44118532538414},{"id":"https://openalex.org/keywords/web-crawler","display_name":"Web crawler","score":0.4393449127674103},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.4262446165084839},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42575353384017944},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4165372848510742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38641178607940674},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3819735050201416},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2294340431690216}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.782859206199646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810236215591431},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6781569123268127},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5784886479377747},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5362725853919983},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4842545688152313},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46921172738075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4626164734363556},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44118532538414},{"id":"https://openalex.org/C13743948","wikidata":"https://www.wikidata.org/wiki/Q45842","display_name":"Web crawler","level":2,"score":0.4393449127674103},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.4262446165084839},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42575353384017944},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4165372848510742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38641178607940674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3819735050201416},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2294340431690216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3358528.3358540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3358528.3358540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Big Data Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.49000000953674316,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1493697127","https://openalex.org/W1513657772","https://openalex.org/W1574373040","https://openalex.org/W1880262756","https://openalex.org/W1969486090","https://openalex.org/W1987986834","https://openalex.org/W2001747839","https://openalex.org/W2037970810","https://openalex.org/W2039582269","https://openalex.org/W2041711198","https://openalex.org/W2042034885","https://openalex.org/W2074909580","https://openalex.org/W2096135266","https://openalex.org/W2134731454","https://openalex.org/W2140124448","https://openalex.org/W2341256577","https://openalex.org/W2739266293","https://openalex.org/W2754236016","https://openalex.org/W2806356249","https://openalex.org/W2811388029","https://openalex.org/W2883724305","https://openalex.org/W2891133519","https://openalex.org/W2953138069","https://openalex.org/W2963105247","https://openalex.org/W3125952634","https://openalex.org/W4242635839"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2030628044","https://openalex.org/W2766789703","https://openalex.org/W2053389710"],"abstract_inverted_index":{"Finding":[0],"the":[1,82,94,112,121],"key":[2,56,74],"topics":[3,57,75,125],"in":[4,11,19,58,76,84,104],"a":[5,15,24,70,88,109],"large":[6],"amount":[7],"of":[8,26,62,124,135],"short":[9,105],"texts":[10,106],"social":[12,40,59,77,85],"networks":[13,41,60,86],"is":[14,142],"hot":[16],"research":[17],"point":[18],"data":[20],"mining.":[21],"There":[22],"are":[23,36],"lot":[25],"models":[27],"and":[28,46,107,128],"algorithms":[29],"to":[30,54,100],"solve":[31],"this":[32,66],"problem,":[33],"but":[34],"they":[35],"not":[37],"designed":[38],"for":[39,72,126],"where":[42],"many":[43],"new":[44,102],"words":[45],"nonstandard":[47],"writings,":[48],"grammars":[49],"exist.":[50],"It's":[51],"more":[52],"difficult":[53],"detect":[55],"because":[61],"these":[63],"characteristics.":[64],"In":[65],"paper,":[67],"we":[68,80,92,119],"propose":[69],"framework":[71],"detecting":[73],"networks.":[78],"First,":[79],"get":[81],"posts":[83],"using":[87],"focused":[89],"crawler.":[90],"Then":[91],"introduce":[93],"Word":[95],"Segment":[96],"Merging":[97],"(WSM)":[98],"method":[99,141],"identify":[101],"phrases":[103],"represent":[108],"document":[110],"with":[111],"vector":[113],"space":[114],"model":[115,120],"(VSM).":[116],"At":[117],"last,":[118],"life":[122],"cycle":[123],"clustering":[127],"popularity":[129],"computing.":[130],"Experiments":[131],"on":[132],"three":[133],"datasets":[134],"SINA":[136],"Weibo":[137],"show":[138],"that":[139],"our":[140],"better":[143],"than":[144],"existing":[145],"state-of-arts":[146],"models.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}