{"id":"https://openalex.org/W2000122588","doi":"https://doi.org/10.1145/1978942.1978967","title":"Apolo","display_name":"Apolo","publication_year":2011,"publication_date":"2011-05-07","ids":{"openalex":"https://openalex.org/W2000122588","doi":"https://doi.org/10.1145/1978942.1978967","mag":"2000122588"},"language":"en","primary_location":{"id":"doi:10.1145/1978942.1978967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1978942.1978967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","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/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"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":"Duen Horng Chau","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","Carnegie Mellon University , Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University , Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050656871","display_name":"Aniket Kittur","orcid":"https://orcid.org/0000-0003-4192-9302"},"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":"Aniket Kittur","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","Carnegie Mellon University , Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University , Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090310268","display_name":"Jason Hong","orcid":"https://orcid.org/0000-0002-9856-9654"},"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":"Jason I. Hong","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","Carnegie Mellon University , Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University , Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"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":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","Carnegie Mellon University , Pittsburgh, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie Mellon University , Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020153026"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.7699,"has_fulltext":false,"cited_by_count":191,"citation_normalized_percentile":{"value":0.98911138,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9973999857902527,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9710999727249146,"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":0.8297075033187866},{"id":"https://openalex.org/keywords/sensemaking","display_name":"Sensemaking","score":0.7071433067321777},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6016573309898376},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5954031944274902},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4554124176502228},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.433383971452713},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4210447072982788},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3900183439254761},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33009636402130127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.252350389957428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14650806784629822}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8297075033187866},{"id":"https://openalex.org/C2780554381","wikidata":"https://www.wikidata.org/wiki/Q2063340","display_name":"Sensemaking","level":2,"score":0.7071433067321777},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6016573309898376},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5954031944274902},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4554124176502228},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.433383971452713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4210447072982788},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3900183439254761},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33009636402130127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.252350389957428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14650806784629822},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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:10.1145/1978942.1978967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1978942.1978967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338286","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W72634186","https://openalex.org/W105330602","https://openalex.org/W1497443639","https://openalex.org/W1546650522","https://openalex.org/W1966951973","https://openalex.org/W1978215702","https://openalex.org/W1984244946","https://openalex.org/W1994335990","https://openalex.org/W1996350342","https://openalex.org/W1996764654","https://openalex.org/W1997952588","https://openalex.org/W1999100266","https://openalex.org/W2000255081","https://openalex.org/W2006090350","https://openalex.org/W2019599312","https://openalex.org/W2020477716","https://openalex.org/W2023955403","https://openalex.org/W2027770225","https://openalex.org/W2037838725","https://openalex.org/W2038931388","https://openalex.org/W2048538797","https://openalex.org/W2055175765","https://openalex.org/W2066636486","https://openalex.org/W2077233202","https://openalex.org/W2077786999","https://openalex.org/W2080769514","https://openalex.org/W2082557450","https://openalex.org/W2102664288","https://openalex.org/W2106650313","https://openalex.org/W2107983132","https://openalex.org/W2118482677","https://openalex.org/W2120904649","https://openalex.org/W2121749752","https://openalex.org/W2123322679","https://openalex.org/W2130525591","https://openalex.org/W2131523719","https://openalex.org/W2132174862","https://openalex.org/W2133299088","https://openalex.org/W2133934472","https://openalex.org/W2134816385","https://openalex.org/W2135844668","https://openalex.org/W2135880665","https://openalex.org/W2138621811","https://openalex.org/W2144083192","https://openalex.org/W2144112223","https://openalex.org/W2148123869","https://openalex.org/W2152767508","https://openalex.org/W2153039146","https://openalex.org/W2153387921","https://openalex.org/W2153662613","https://openalex.org/W2165662062","https://openalex.org/W2167927436","https://openalex.org/W2169700383","https://openalex.org/W2170726034","https://openalex.org/W3010150083","https://openalex.org/W4236692733","https://openalex.org/W4241122026","https://openalex.org/W4300242245","https://openalex.org/W6671442247"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2579659702","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W2547096368","https://openalex.org/W2586219255"],"abstract_inverted_index":{"Extracting":[0],"useful":[1],"knowledge":[2],"from":[3,15],"large":[4,53],"network":[5,54],"datasets":[6],"has":[7],"become":[8],"a":[9,27,31,99,122],"fundamental":[10],"challenge":[11],"in":[12,65,121],"many":[13],"domains,":[14],"scientific":[16],"literature":[17],"to":[18,44,48,68,106,129,134],"social":[19],"networks":[20],"and":[21,40,50,56,83,96],"the":[22,46,63,126],"web.":[23],"We":[24,115],"introduce":[25],"Apolo,":[26],"system":[28],"that":[29],"uses":[30],"mixed-initiative":[32],"approach":[33],"-":[34,43],"combining":[35],"visualization,":[36],"rich":[37],"user":[38,47,64],"interaction":[39],"machine":[41,100],"learning":[42,101],"guide":[45],"incrementally":[49],"interactively":[51],"explore":[52],"data":[55],"make":[57],"sense":[58],"of":[59,113,153],"it.":[60],"Apolo":[61,86,117,145,154],"engages":[62],"bottom-up":[66],"sensemaking":[67],"gradually":[69],"build":[70],"up":[71],"an":[72,136],"understanding":[73],"over":[74],"time":[75],"by":[76,93],"starting":[77,81],"small,":[78],"rather":[79],"than":[80],"big":[82],"drilling":[84],"down.":[85],"also":[87,156],"helps":[88],"users":[89],"find":[90,130],"relevant":[91,131,149],"information":[92],"specifying":[94],"exemplars,":[95],"then":[97],"using":[98,144],"method":[102],"called":[103],"Belief":[104],"Propagation":[105],"infer":[107],"which":[108],"other":[109],"nodes":[110],"may":[111],"be":[112],"interest.":[114],"evaluated":[116],"with":[118,125],"twelve":[119],"participants":[120,143],"between-subjects":[123],"study,":[124],"task":[127],"being":[128],"new":[132],"papers":[133],"update":[135],"existing":[137],"survey":[138],"paper.":[139],"Using":[140],"expert":[141],"judges,":[142],"found":[146],"significantly":[147],"more":[148],"papers.":[150],"Subjective":[151],"feedback":[152],"was":[155],"very":[157],"positive.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":22},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2016-06-24T00:00:00"}