{"id":"https://openalex.org/W2021661701","doi":"https://doi.org/10.1145/2695664.2695940","title":"Classification of Twitter follow links based on the followers' intention","display_name":"Classification of Twitter follow links based on the followers' intention","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W2021661701","doi":"https://doi.org/10.1145/2695664.2695940","mag":"2021661701"},"language":"en","primary_location":{"id":"doi:10.1145/2695664.2695940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2695664.2695940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual ACM Symposium on Applied Computing","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/A5054326708","display_name":"Hikaru Takemura","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hikaru Takemura","raw_affiliation_strings":["Kyoto University, Sakyo, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Sakyo, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101782709","display_name":"Atsushi Tanaka","orcid":"https://orcid.org/0000-0002-9449-4894"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Tanaka","raw_affiliation_strings":["Kyoto University, Sakyo, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Sakyo, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103793743","display_name":"Keishi Tajima","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keishi Tajima","raw_affiliation_strings":["Kyoto University, Sakyo, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Sakyo, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054326708"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":0.9543,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75022624,"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":"1174","last_page":"1180"},"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":0.9968000054359436,"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":0.9937999844551086,"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/orientation","display_name":"Orientation (vector space)","score":0.6682999730110168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6477198600769043},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5956978797912598},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5182921290397644},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4833183288574219},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.472257524728775},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.46956396102905273},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.44003427028656006},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39849787950515747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13615795969963074},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07706689834594727}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6682999730110168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477198600769043},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5956978797912598},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5182921290397644},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4833183288574219},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.472257524728775},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.46956396102905273},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.44003427028656006},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39849787950515747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13615795969963074},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07706689834594727},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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:10.1145/2695664.2695940","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2695664.2695940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2993920052","display_name":null,"funder_award_id":"Kakenhi 26540163","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W188608978","https://openalex.org/W204283630","https://openalex.org/W1969568357","https://openalex.org/W1972672564","https://openalex.org/W1980672078","https://openalex.org/W1997358273","https://openalex.org/W1998588462","https://openalex.org/W2000200507","https://openalex.org/W2017270267","https://openalex.org/W2020360881","https://openalex.org/W2027837217","https://openalex.org/W2035563928","https://openalex.org/W2046804949","https://openalex.org/W2053968437","https://openalex.org/W2059750639","https://openalex.org/W2073415627","https://openalex.org/W2076219102","https://openalex.org/W2093842354","https://openalex.org/W2101196063","https://openalex.org/W2106476394","https://openalex.org/W2107569009","https://openalex.org/W2109097641","https://openalex.org/W2112896229","https://openalex.org/W2128269848","https://openalex.org/W2142517301","https://openalex.org/W2145446394","https://openalex.org/W2155186673","https://openalex.org/W2544448700","https://openalex.org/W3103474729","https://openalex.org/W4298299405"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W4380714744","https://openalex.org/W2387995142","https://openalex.org/W4319453655","https://openalex.org/W2089959425","https://openalex.org/W2964074194","https://openalex.org/W2057775761","https://openalex.org/W2800597160"],"abstract_inverted_index":{"In":[0],"Twitter,":[1],"a":[2,20,25,83,160,191],"user":[3],"follows":[4,115,121],"other":[5],"users":[6,129,203],"for":[7,11,14,18,134,198,208],"various":[8,147],"purposes,":[9],"e.g.,":[10],"information":[12,168],"gathering,":[13],"personal":[15],"communication,":[16],"and":[17,58,85,91,97,126,154,170,173,194],"reading":[19],"chat":[21],"by":[22,201],"celebrities.":[23],"As":[24],"result,":[26],"the":[27,48,128,150,152,175,180],"intention":[28,50,72,133],"of":[29,62,70,138,149,162,177],"followers":[30],"behind":[31],"follow":[32,42,80,140,199],"links":[33,43,81,200],"is":[34,190],"different":[35],"from":[36],"case":[37],"to":[38],"case.":[39],"We":[40,76,142,157],"classify":[41],"in":[44,74,165],"Twitter":[45,79,166],"based":[46],"on":[47],"followers'":[49,71],"along":[51],"with":[52,104,111,146],"three":[53,64],"classification":[54,196],"axes:":[55],"user-orientation,":[56],"content-orientation,":[57],"mutuality.":[59],"The":[60],"combination":[61],"these":[63],"axes":[65],"covers":[66],"most":[67],"major":[68],"types":[69,176],"found":[73,87],"Twitter.":[75],"collected":[77],"1760":[78],"through":[82],"questionnaire":[84],"we":[86],"that":[88,185,207],"(1)":[89,186],"user-orientation":[90,98],"content-orientation":[92,107],"have":[93,130],"weak":[94,101],"positive":[95,102],"correlation,":[96],"also":[99,158],"has":[100,108],"correlation":[103,110],"mutuality,":[105,112],"but":[106],"no":[109,131,187],"(2)":[113,195],"content-oriented":[114],"are":[116,204],"more":[117,135],"frequent":[118],"than":[119,136,206],"user-oriented":[120],"even":[122],"among":[123],"communication-oriented":[124,209],"users,":[125],"(3)":[127],"clear":[132],"20%":[137],"their":[139,155],"links.":[141],"then":[143],"constructed":[144],"classifiers":[145],"features":[148],"followee,":[151],"follower,":[153],"relationship.":[156],"developed":[159],"method":[161],"classifying":[163],"\"lists\"":[164],"into":[167],"lists":[169,178],"community":[171],"lists,":[172],"used":[174],"including":[179],"followee.":[181],"Our":[182],"experiments":[183],"show":[184],"single":[188],"property":[189],"prominent":[192],"discriminator,":[193],"accuracy":[197],"information-gathering":[202],"higher":[205],"users.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
