{"id":"https://openalex.org/W2077725943","doi":"https://doi.org/10.1145/2631775.2631810","title":"Comparing the pulses of categorical hot events in Twitter and Weibo","display_name":"Comparing the pulses of categorical hot events in Twitter and Weibo","publication_year":2014,"publication_date":"2014-08-29","ids":{"openalex":"https://openalex.org/W2077725943","doi":"https://doi.org/10.1145/2631775.2631810","mag":"2077725943"},"language":"en","primary_location":{"id":"doi:10.1145/2631775.2631810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2631775.2631810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM conference on Hypertext and social media","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/A5083121585","display_name":"Xin Shuai","orcid":"https://orcid.org/0000-0003-0810-7219"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Shuai","raw_affiliation_strings":["School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985030","display_name":"Xiaozhong Liu","orcid":"https://orcid.org/0000-0003-3477-8323"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhong Liu","raw_affiliation_strings":["School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091205267","display_name":"Tian Xia","orcid":"https://orcid.org/0000-0003-0123-1305"},"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":"Tian Xia","raw_affiliation_strings":["Renmin University of China, Beijing, China","Renmin Univ. of China, Beijing - China#TAB#"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Renmin Univ. of China, Beijing - China#TAB#","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047960393","display_name":"Yuqing Wu","orcid":"https://orcid.org/0009-0001-1409-6993"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuqing Wu","raw_affiliation_strings":["School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101474914","display_name":"Chun Guo","orcid":"https://orcid.org/0000-0002-3341-220X"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun Guo","raw_affiliation_strings":["School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA"],"affiliations":[{"raw_affiliation_string":"School of Informatics and Computing, Indiana University Bloomington, Bloomington, IN, USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083121585"],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":0.938,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.755001,"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":"126","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9980999827384949,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.848566472530365},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8346720933914185},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7114946842193604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010317444801331},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5029165148735046},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.493389755487442},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46504226326942444},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42598459124565125},{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.42248299717903137},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4216534495353699},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4142216145992279},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3674500584602356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12163472175598145}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.848566472530365},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8346720933914185},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7114946842193604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010317444801331},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5029165148735046},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.493389755487442},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46504226326942444},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42598459124565125},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.42248299717903137},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4216534495353699},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4142216145992279},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3674500584602356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12163472175598145},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2631775.2631810","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2631775.2631810","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM conference on Hypertext and social media","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W359818833","https://openalex.org/W1503656438","https://openalex.org/W1509128374","https://openalex.org/W1520610425","https://openalex.org/W1576524045","https://openalex.org/W1878315166","https://openalex.org/W1892502720","https://openalex.org/W1963548240","https://openalex.org/W2028677680","https://openalex.org/W2046804949","https://openalex.org/W2050112941","https://openalex.org/W2053241453","https://openalex.org/W2059503205","https://openalex.org/W2070241949","https://openalex.org/W2089586275","https://openalex.org/W2094311067","https://openalex.org/W2101196063","https://openalex.org/W2109603058","https://openalex.org/W2112946723","https://openalex.org/W2124499489","https://openalex.org/W2139043937","https://openalex.org/W2143361337","https://openalex.org/W2145446394","https://openalex.org/W2156460502","https://openalex.org/W2159193292","https://openalex.org/W2294626234","https://openalex.org/W2328692034","https://openalex.org/W2949965121"],"related_works":["https://openalex.org/W2163194970","https://openalex.org/W3105229732","https://openalex.org/W2368605798","https://openalex.org/W2799094075","https://openalex.org/W2945387931","https://openalex.org/W2185014967","https://openalex.org/W2217604302","https://openalex.org/W2067219739","https://openalex.org/W2093123876","https://openalex.org/W4318719361"],"abstract_inverted_index":{"The":[0,176],"fragility":[1],"and":[2,32,43,58,87,103,133,140,153,163,173,196],"interconnectivity":[3],"of":[4,13,19,23,35,115,124,167,185,193],"the":[5,30,33,36,56,89,98,104,113,116,182,191],"planet":[6],"argue":[7],"compellingly":[8],"for":[9,128],"a":[10,72,122],"greater":[11],"understanding":[12],"how":[14],"different":[15,79],"communities":[16,62,80],"make":[17],"sense":[18],"their":[20],"world.":[21],"One":[22],"such":[24],"critical":[25],"demands":[26],"relies":[27],"on":[28],"comparing":[29],"Chinese":[31],"rest":[34],"world":[37,106],"(e.g.,":[38],"Americans),":[39],"where":[40],"communities'":[41],"ideological":[42],"cultural":[44],"backgrounds":[45],"can":[46,199],"be":[47,200],"significantly":[48],"different.":[49,202],"While":[50],"traditional":[51],"studies":[52],"aim":[53],"to":[54,77,96,158],"learn":[55],"similarities":[57],"differences":[59],"between":[60],"these":[61],"via":[63,146],"high-cost":[64],"user":[65],"studies,":[66],"in":[67,131,138,161,165],"this":[68],"paper":[69],"we":[70,120],"propose":[71],"much":[73],"more":[74],"efficient":[75],"method":[76],"compare":[78,155],"by":[81],"utilizing":[82],"social":[83],"media.":[84],"Specifically,":[85],"Weibo":[86,139,164],"Twitter,":[88],"two":[90],"largest":[91],"microblogging":[92],"systems,":[93],"are":[94,188],"employed":[95],"represent":[97],"target":[99],"communities,":[100],"i.e.":[101],"China":[102],"Western":[105],"(mainly":[107],"United":[108],"States),":[109],"respectively.":[110],"Meanwhile,":[111],"through":[112],"analysis":[114],"Wikipedia":[117],"page-click":[118],"log,":[119],"identify":[121],"set":[123],"categorical":[125],"`hot":[126],"events'":[127],"one":[129],"month":[130],"2012":[132],"search":[134],"those":[135,159,186],"hot":[136],"events":[137,160,187],"Twitter":[141,162],"corpora":[142],"along":[143],"with":[144],"timestamps":[145],"information":[147,174,197],"retrieval":[148],"methods.":[149],"We":[150],"further":[151],"quantitatively":[152],"qualitatively":[154],"users'":[156],"responses":[157],"terms":[166],"three":[168],"aspects:":[169],"popularity,":[170],"temporal":[171,194],"dynamic,":[172],"diffusion.":[175],"comparative":[177],"results":[178],"show":[179],"that":[180],"although":[181],"popularity":[183],"ranking":[184],"very":[189],"similar,":[190],"patterns":[192],"dynamics":[195],"diffusion":[198],"quite":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}