{"id":"https://openalex.org/W1984226559","doi":"https://doi.org/10.1145/2492517.2492549","title":"Exploring friend's influence in cultures in Twitter","display_name":"Exploring friend's influence in cultures in Twitter","publication_year":2013,"publication_date":"2013-08-25","ids":{"openalex":"https://openalex.org/W1984226559","doi":"https://doi.org/10.1145/2492517.2492549","mag":"1984226559"},"language":"en","primary_location":{"id":"doi:10.1145/2492517.2492549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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/A5101105239","display_name":"Anika Gupta","orcid":"https://orcid.org/0000-0002-3265-5664"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anika Gupta","raw_affiliation_strings":["Carnegie Mellon University","Language Technology Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Language Technology Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105273526","display_name":"Katia P. Sycara","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katia P. Sycara","raw_affiliation_strings":["Carnegie Mellon University","[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"[Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA]","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012830032","display_name":"Geoffrey J. Gordon","orcid":"https://orcid.org/0009-0007-9960-2114"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoffrey J. Gordon","raw_affiliation_strings":["Carnegie Mellon University","Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003652981","display_name":"Ahmed Hefny","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Hefny","raw_affiliation_strings":["Carnegie Mellon University","Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101105239"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.9977,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75258985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10557","display_name":"Social Media and Politics","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/computer-science","display_name":"Computer science","score":0.7477450966835022},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7216818928718567},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6450004577636719},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.495206743478775},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4513040781021118},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4161120355129242},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3339235186576843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477450966835022},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7216818928718567},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6450004577636719},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.495206743478775},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4513040781021118},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4161120355129242},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3339235186576843},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2492517.2492549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2492517.2492549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3864778073","display_name":null,"funder_award_id":"W911NF0810301","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W14631925","https://openalex.org/W1542929703","https://openalex.org/W1603802822","https://openalex.org/W1814023381","https://openalex.org/W1967579779","https://openalex.org/W2025529745","https://openalex.org/W2041670710","https://openalex.org/W2061820396","https://openalex.org/W2071393163","https://openalex.org/W2076219102","https://openalex.org/W2096765155","https://openalex.org/W2101196063","https://openalex.org/W2107559689","https://openalex.org/W2108858998","https://openalex.org/W2109742433","https://openalex.org/W2116235440","https://openalex.org/W2118027753","https://openalex.org/W2118585731","https://openalex.org/W2119759918","https://openalex.org/W2128076840","https://openalex.org/W2129938110","https://openalex.org/W2130354913","https://openalex.org/W2140918013","https://openalex.org/W2146591355","https://openalex.org/W2149084727","https://openalex.org/W2149910108","https://openalex.org/W2151923808","https://openalex.org/W2153848201","https://openalex.org/W2154165851","https://openalex.org/W3001645704","https://openalex.org/W4298345247","https://openalex.org/W6600602085","https://openalex.org/W6636191029","https://openalex.org/W6677771139"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2142393343"],"abstract_inverted_index":{"What":[0],"does":[1,34],"a":[2,25,38,58,67,84,94,118],"user":[3,68,95],"do":[4],"when":[5],"he":[6,14,35,46,105],"logs":[7],"in":[8,69,97,108,153],"to":[9,89],"the":[10,18,49,91,115,122,131,134,137],"Twitter":[11],"website?":[12],"Does":[13,45,72],"merely":[15],"browse":[16],"through":[17,48],"tweets":[19,50],"of":[20,27,40,51,57,63,93,99,133,136],"all":[21,52],"his":[22,30,41,53,109],"friends":[23,54],"as":[24,117,126],"source":[26],"information":[28],"for":[29],"own":[31,42],"tweets,":[32],"or":[33,55,102],"simply":[36],"tweet":[37],"message":[39],"personal":[43],"interest?":[44],"skim":[47],"only":[56],"selected":[59],"few?":[60],"A":[61],"number":[62],"factors":[64],"might":[65,106],"influence":[66,75],"these":[70],"decisions.":[71],"this":[73],"social":[74,154],"vary":[76],"across":[77],"cultures?":[78],"In":[79],"our":[80,141],"work,":[81],"we":[82,129,143],"propose":[83],"simple":[85],"yet":[86],"effective":[87],"model":[88,142],"predict":[90],"behavior":[92],"-":[96],"terms":[98],"which":[100],"hashtag":[101],"named":[103],"entity":[104],"include":[107],"future":[110],"tweets.":[111],"We":[112],"have":[113],"approached":[114],"problem":[116],"classification":[119],"task":[120],"with":[121],"various":[123],"influences":[124],"contributing":[125],"features.":[127,139],"Further,":[128],"analyze":[130,144],"contribution":[132],"weights":[135],"different":[138,147],"Using":[140],"data":[145],"from":[146],"cultures":[148],"and":[149],"discover":[150],"interesting":[151],"differences":[152],"influence.":[155]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}