{"id":"https://openalex.org/W3005694282","doi":"https://doi.org/10.1109/vast47406.2019.8986912","title":"Visual Analysis for Messages in Social Media","display_name":"Visual Analysis for Messages in Social Media","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3005694282","doi":"https://doi.org/10.1109/vast47406.2019.8986912","mag":"3005694282"},"language":"en","primary_location":{"id":"doi:10.1109/vast47406.2019.8986912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5101542216","display_name":"Mengyang Zhang","orcid":"https://orcid.org/0000-0003-4267-1761"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mengyang Zhang","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034196595","display_name":"Kaokao Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaokao Lv","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023697287","display_name":"Liang Tang","orcid":"https://orcid.org/0000-0002-5988-8660"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Tang","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030155577","display_name":"Chuanming Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanming Huang","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100538624","display_name":"Yuan Zhaokang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaokang Yuan","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003582509","display_name":"Xiaobo Luo","orcid":"https://orcid.org/0000-0003-0453-490X"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Luo","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024313502","display_name":"Zhengyan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyan Yu","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037159258","display_name":"Lingjun He","orcid":"https://orcid.org/0000-0003-3934-0283"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingjun He","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429710","display_name":"Zhuo Zhang","orcid":"https://orcid.org/0000-0002-6515-0021"},"institutions":[{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zhang","raw_affiliation_strings":["Qi An Xin Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Qi An Xin Group, Beijing, China","institution_ids":["https://openalex.org/I4210141776"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5101542216"],"corresponding_institution_ids":["https://openalex.org/I4210141776"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17767235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9329000115394592,"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":0.7987104654312134},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7256041765213013},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6637702584266663},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6242042779922485},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.532642126083374},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4966509938240051},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.48738914728164673},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47133541107177734},{"id":"https://openalex.org/keywords/pie-chart","display_name":"Pie chart","score":0.4310159981250763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3221924901008606},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3024711608886719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987104654312134},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7256041765213013},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6637702584266663},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6242042779922485},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.532642126083374},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4966509938240051},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.48738914728164673},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47133541107177734},{"id":"https://openalex.org/C205208641","wikidata":"https://www.wikidata.org/wiki/Q273404","display_name":"Pie chart","level":2,"score":0.4310159981250763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3221924901008606},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3024711608886719},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vast47406.2019.8986912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/W2970848727","https://openalex.org/W4254627246","https://openalex.org/W2381261900","https://openalex.org/W1499232172","https://openalex.org/W4243489664","https://openalex.org/W2905210242","https://openalex.org/W4236230270","https://openalex.org/W1854413175","https://openalex.org/W4229766278","https://openalex.org/W3009603321"],"abstract_inverted_index":{"The":[0],"VAST":[1],"2019":[2],"Mini":[3],"Challenge":[4],"3":[5],"(MC3)":[6],"shows":[7],"current":[8],"challenges":[9],"in":[10],"analyzing":[11],"and":[12,26,35,43],"finding":[13],"useful":[14],"information":[15],"from":[16],"social":[17],"media":[18],"text":[19],"datasets.":[20],"We":[21],"develop":[22],"tools":[23],"to":[24],"process":[25],"visualize":[27],"data":[28],"including":[29],"heat":[30],"map,":[31],"stacked":[32],"area":[33],"chart":[34],"message":[36],"tables.":[37],"It":[38],"helps":[39],"us":[40],"identifying":[41],"situations":[42],"making":[44],"suggestions.":[45]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
