{"id":"https://openalex.org/W1980680329","doi":"https://doi.org/10.1145/2254556.2254651","title":"GraphPrism","display_name":"GraphPrism","publication_year":2012,"publication_date":"2012-05-21","ids":{"openalex":"https://openalex.org/W1980680329","doi":"https://doi.org/10.1145/2254556.2254651","mag":"1980680329"},"language":"en","primary_location":{"id":"doi:10.1145/2254556.2254651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254556.2254651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Working Conference on Advanced Visual Interfaces","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039712245","display_name":"Sanjay Kairam","orcid":"https://orcid.org/0000-0001-8320-222X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Kairam","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088564608","display_name":"Diana MacLean","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diana MacLean","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091765070","display_name":"Manolis Savva","orcid":"https://orcid.org/0000-0001-6132-8964"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manolis Savva","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090570042","display_name":"Jeffrey Heer","orcid":"https://orcid.org/0000-0002-6175-1655"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Heer","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"498","last_page":"505"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9958000183105469,"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/T13283","display_name":"Mental Health Research Topics","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7954673171043396},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5558157563209534},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.5262455344200134},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48808014392852783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46122246980667114},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4541281759738922},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.45204997062683105},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4330439567565918},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4273444414138794},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42717617750167847},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41090747714042664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38119077682495117},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32743409276008606},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16921836137771606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10459750890731812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954673171043396},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5558157563209534},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.5262455344200134},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48808014392852783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46122246980667114},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4541281759738922},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.45204997062683105},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4330439567565918},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4273444414138794},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42717617750167847},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41090747714042664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38119077682495117},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32743409276008606},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16921836137771606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10459750890731812},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":1,"locations":[{"id":"doi:10.1145/2254556.2254651","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254556.2254651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Working Conference on Advanced Visual Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1487193988","https://openalex.org/W1527463082","https://openalex.org/W1535517383","https://openalex.org/W1557977305","https://openalex.org/W1566045513","https://openalex.org/W1573579329","https://openalex.org/W1584092895","https://openalex.org/W1897665750","https://openalex.org/W1971421925","https://openalex.org/W1996136679","https://openalex.org/W2000042664","https://openalex.org/W2008620264","https://openalex.org/W2015953751","https://openalex.org/W2059942088","https://openalex.org/W2069788892","https://openalex.org/W2085369494","https://openalex.org/W2095420020","https://openalex.org/W2104075446","https://openalex.org/W2111347866","https://openalex.org/W2112090702","https://openalex.org/W2121470019","https://openalex.org/W2128712108","https://openalex.org/W2130943743","https://openalex.org/W2132881639","https://openalex.org/W2135415614","https://openalex.org/W2148606196","https://openalex.org/W2153039146","https://openalex.org/W2157579446","https://openalex.org/W2169112940","https://openalex.org/W2243945130","https://openalex.org/W2275735758","https://openalex.org/W2346370112","https://openalex.org/W2907515539","https://openalex.org/W2914443121","https://openalex.org/W2969292053","https://openalex.org/W3101413764","https://openalex.org/W3103362336","https://openalex.org/W4206025795","https://openalex.org/W4212764898","https://openalex.org/W4229585860"],"related_works":["https://openalex.org/W4312527695","https://openalex.org/W2361167282","https://openalex.org/W1528932152","https://openalex.org/W2091342995","https://openalex.org/W2271118953","https://openalex.org/W3007067598","https://openalex.org/W2359420171","https://openalex.org/W1677394555","https://openalex.org/W2073498251","https://openalex.org/W2006385248"],"abstract_inverted_index":{"Visual":[0],"methods":[1],"for":[2,54,80],"supporting":[3],"the":[4,130],"characterization,":[5],"comparison,":[6],"and":[7,31,94,142],"classification":[8],"of":[9,62,86,132,150,163],"large":[10,58,91],"networks":[11],"remain":[12],"an":[13,133],"open":[14],"challenge.":[15],"Ideally,":[16],"such":[17,25],"techniques":[18],"should":[19],"surface":[20],"useful":[21],"structural":[22,32],"features":[23],"--":[24,34],"as":[26,97],"effective":[27],"diameter,":[28],"small-world":[29],"properties,":[30],"holes":[33],"not":[35],"always":[36],"apparent":[37],"from":[38,152],"either":[39],"summary":[40],"statistics":[41],"or":[42,70],"typical":[43],"network":[44,116,125,164],"visualizations.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,128,156],"present":[50],"GraphPrism,":[51],"a":[52,67,77,98,147,153],"technique":[53],"visually":[55],"summarizing":[56],"arbitrarily":[57],"graphs":[59],"through":[60],"combinations":[61],"'facets',":[63],"each":[64],"corresponding":[65],"to":[66],"single":[68],"node-":[69],"edge-specific":[71],"metric":[72],"(e.g.,":[73],"transitivity).":[74],"We":[75],"describe":[76],"generalized":[78],"approach":[79],"constructing":[81],"facets":[82],"by":[83],"calculating":[84],"distributions":[85],"graph":[87],"metrics":[88],"over":[89],"increasingly":[90],"local":[92],"neighborhoods":[93],"representing":[95],"these":[96],"stacked":[99],"multi-scale":[100],"histogram.":[101],"Evaluation":[102],"with":[103,108,124],"paper":[104],"prototypes":[105],"shows":[106],"that,":[107],"minimal":[109],"training,":[110],"static":[111],"GraphPrism":[112,140,159],"diagrams":[113],"can":[114],"aid":[115],"analysis":[117,122],"experts":[118],"in":[119],"performing":[120],"basic":[121],"tasks":[123],"data.":[126,165],"Finally,":[127],"contribute":[129],"design":[131],"interactive":[134,161],"system":[135],"using":[136],"linked":[137],"selection":[138],"between":[139],"overviews":[141],"node-link":[143],"detail":[144],"views.":[145],"Using":[146],"case":[148],"study":[149],"data":[151],"co-authorship":[154],"network,":[155],"illustrate":[157],"how":[158],"facilitates":[160],"exploration":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
