{"id":"https://openalex.org/W2148387158","doi":"https://doi.org/10.1145/1557914.1557947","title":"Individual and social behavior in tagging systems","display_name":"Individual and social behavior in tagging systems","publication_year":2009,"publication_date":"2009-06-29","ids":{"openalex":"https://openalex.org/W2148387158","doi":"https://doi.org/10.1145/1557914.1557947","mag":"2148387158"},"language":"en","primary_location":{"id":"doi:10.1145/1557914.1557947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557914.1557947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM conference on Hypertext and hypermedia","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/A5023875877","display_name":"Elizeu Santos\u2010Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Elizeu Santos-Neto","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012886826","display_name":"David Condon","orcid":"https://orcid.org/0000-0002-8406-783X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Condon","raw_affiliation_strings":["University of Sourth Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Sourth Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103924791","display_name":"Nazareno Andrade","orcid":null},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nazareno Andrade","raw_affiliation_strings":["Universidade Federal de Campina Grande, Campina Grande, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Campina Grande, Campina Grande, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007419039","display_name":"Adriana Iamnitchi","orcid":"https://orcid.org/0000-0002-2397-8963"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adriana Iamnitchi","raw_affiliation_strings":["University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088755273","display_name":"Matei Ripeanu","orcid":"https://orcid.org/0000-0001-9839-3866"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matei Ripeanu","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023875877"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":26.3411,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.99435707,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"183","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.996399998664856,"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":0.996399998664856,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9962999820709229,"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8290425539016724},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8016768097877502},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6845213174819946},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5919727087020874},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5606003403663635},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5151361227035522},{"id":"https://openalex.org/keywords/tag-system","display_name":"Tag system","score":0.4696352183818817},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4143930971622467},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.362307071685791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18493753671646118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8290425539016724},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8016768097877502},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6845213174819946},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5919727087020874},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5606003403663635},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5151361227035522},{"id":"https://openalex.org/C75003639","wikidata":"https://www.wikidata.org/wiki/Q3267583","display_name":"Tag system","level":2,"score":0.4696352183818817},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4143930971622467},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.362307071685791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18493753671646118},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1557914.1557947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1557914.1557947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM conference on Hypertext and hypermedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.149.4948","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.4948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.usf.edu/~anda/papers/hypertext09-santos-neto.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W34018906","https://openalex.org/W1575471463","https://openalex.org/W1603582235","https://openalex.org/W1606300926","https://openalex.org/W1990843604","https://openalex.org/W2020340745","https://openalex.org/W2036671379","https://openalex.org/W2066180141","https://openalex.org/W2066636486","https://openalex.org/W2073766874","https://openalex.org/W2096130203","https://openalex.org/W2096748234","https://openalex.org/W2101100852","https://openalex.org/W2102775690","https://openalex.org/W2107105977","https://openalex.org/W2122710250","https://openalex.org/W2123402141","https://openalex.org/W2124997584","https://openalex.org/W2132827946","https://openalex.org/W2139143639","https://openalex.org/W2154768509","https://openalex.org/W2169815604","https://openalex.org/W2394961746","https://openalex.org/W2610241442","https://openalex.org/W2613678836","https://openalex.org/W4240680860","https://openalex.org/W6684646813"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4390273403","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W4386781444","https://openalex.org/W1692008701","https://openalex.org/W2894446834"],"abstract_inverted_index":{"In":[0],"tagging":[1,33,54,194],"systems":[2,20,51],"users":[3,72],"can":[4,87],"annotate":[5],"items":[6,76],"of":[7,15,18,27,32,43,61,83,95,146,157,184,190],"interest":[8,113,121,141,164],"with":[9],"free-form":[10],"terms.":[11],"A":[12],"good":[13],"understanding":[14],"usage":[16,135],"characteristics":[17],"such":[19,148],"is":[21],"necessary":[22],"to":[23,56,70,81,110,139,144,167],"improve":[24],"the":[25,68,84,96,104,112,116,120,125,177,181,188],"design":[26,189],"current":[28],"and":[29,48,77,92,137,154],"next":[30],"generation":[31],"systems.":[34,195],"To":[35],"this":[36,38,65,129],"end,":[37],"work":[39],"explores":[40],"three":[41],"aspects":[42],"user":[44],"behavior":[45],"in":[46,115,151],"CiteULike":[47],"Connotea,":[49],"two":[50],"that":[52,128,163,171,192],"include":[53],"features":[55],"support":[57,193],"online":[58],"personalized":[59],"management":[60],"scientific":[62],"publications.":[63],"First,":[64],"study":[66],"characterizes":[67],"degree":[69],"which":[71],"re-tag":[73],"previously":[74],"published":[75],"reuse":[78],"tags:":[79],"10":[80],"20%":[82],"daily":[85],"activity":[86,97,109],"be":[88],"characterized":[89],"as":[90,98,149],"re-tagging":[91],"about":[93,133],"75%":[94],"tag":[99,158],"reuse.":[100],"Second,":[101],"we":[102,161,179],"use":[103],"pairwise":[105],"similarity":[106,156],"between":[107],"users'":[108],"characterize":[111],"sharing":[114,122,142,165],"system.":[117],"We":[118],"present":[119],"distribution":[123],"across":[124],"system,":[126],"show":[127,162],"metric":[130],"encodes":[131],"information":[132],"existing":[134],"patterns,":[136],"attempt":[138],"correlate":[140],"levels":[143],"indicators":[145],"collaboration":[147],"co-membership":[150],"discussion":[152],"groups":[153],"semantic":[155],"vocabularies.":[159],"Finally,":[160],"leads":[166],"an":[168],"implicit":[169],"structure":[170],"exhibit":[172],"a":[173],"natural":[174],"segmentation.":[175],"Throughout":[176],"paper":[178],"discuss":[180],"potential":[182],"impact":[183],"our":[185],"findings":[186],"on":[187],"mechanisms":[191]},"counts_by_year":[{"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},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
