{"id":"https://openalex.org/W2286125826","doi":"https://doi.org/10.1109/icde.2016.7498340","title":"graphVizdb: A scalable platform for interactive large graph visualization","display_name":"graphVizdb: A scalable platform for interactive large graph visualization","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2286125826","doi":"https://doi.org/10.1109/icde.2016.7498340","mag":"2286125826"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1602.06401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005916659","display_name":"Nikos Bikakis","orcid":"https://orcid.org/0000-0001-6859-1941"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]},{"id":"https://openalex.org/I4210156054","display_name":"Athena Research and Innovation Center In Information Communication & Knowledge Technologies","ror":"https://ror.org/0576by029","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210156054"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Bikakis","raw_affiliation_strings":["ATHENA Research Center, Greece","National Technical University, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATHENA Research Center, Greece","institution_ids":["https://openalex.org/I4210156054"]},{"raw_affiliation_string":"National Technical University, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050016902","display_name":"John Liagouris","orcid":"https://orcid.org/0000-0003-4692-3022"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"John Liagouris","raw_affiliation_strings":["Dept. of Computer Science, ETH, Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, ETH, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085224335","display_name":"Maria Krommyda","orcid":"https://orcid.org/0000-0002-2121-1371"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Krommyda","raw_affiliation_strings":["National Technical University, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Technical University, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001091619","display_name":"George Papastefanatos","orcid":"https://orcid.org/0000-0002-9273-9843"},"institutions":[{"id":"https://openalex.org/I4210156054","display_name":"Athena Research and Innovation Center In Information Communication & Knowledge Technologies","ror":"https://ror.org/0576by029","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210156054"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Papastefanatos","raw_affiliation_strings":["ATHENA Research Center, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ATHENA Research Center, Greece","institution_ids":["https://openalex.org/I4210156054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020449921","display_name":"Timos Sellis","orcid":"https://orcid.org/0000-0002-9067-5639"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Timos Sellis","raw_affiliation_strings":["Swinburne University of Technology, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3803,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95010532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8540480732917786},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.6215274333953857},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6132754683494568},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5692618489265442},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.500514030456543},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.4311951696872711},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.42930763959884644},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42804309725761414},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.4144560396671295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32532188296318054},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2477719485759735},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16930148005485535},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16821801662445068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8540480732917786},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6215274333953857},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6132754683494568},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5692618489265442},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.500514030456543},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.4311951696872711},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.42930763959884644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42804309725761414},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4144560396671295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32532188296318054},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2477719485759735},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16930148005485535},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16821801662445068}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icde.2016.7498340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1602.06401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.06401","pdf_url":"https://arxiv.org/pdf/1602.06401","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:researchbank.swinburne.edu.au:3cb9be11-982c-4048-9efb-9ff1de53d7bb/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/426233","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"32nd IEEE International Conference on Data Engineering (ICDE 2016), Helsinki, Finland, 16-20 May 2016","raw_type":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1602.06401","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1602.06401","pdf_url":"https://arxiv.org/pdf/1602.06401","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W97348994","https://openalex.org/W1763634820","https://openalex.org/W1916339519","https://openalex.org/W1971599302","https://openalex.org/W2015904297","https://openalex.org/W2100503625","https://openalex.org/W2125910575","https://openalex.org/W2131548207","https://openalex.org/W2136483157","https://openalex.org/W2162755115","https://openalex.org/W2167252678","https://openalex.org/W2167976873","https://openalex.org/W2259122119","https://openalex.org/W2962805095","https://openalex.org/W6603975009","https://openalex.org/W6675019087","https://openalex.org/W6684343638","https://openalex.org/W6692058469"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W4382701072","https://openalex.org/W4256502920","https://openalex.org/W1579593503"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,25,62,71,81,143],"novel":[3],"platform":[4,14],"for":[5,142],"the":[6,16,21,32,48,51,87,104,108,137,160,163,183],"interactive":[7,173],"visualization":[8],"of":[9,34,50,86,113,162],"very":[10,29,129,147],"large":[11,148],"graphs.":[12],"The":[13,65],"enables":[15],"user":[17,105,124],"to":[18,31,56,61,146],"interact":[19],"with":[20,59,70,150],"visualized":[22],"graph":[23,52,88,184],"in":[24,80,136],"way":[26],"that":[27,46,103],"is":[28],"similar":[30],"exploration":[33],"maps":[35],"at":[36,110],"multiple":[37],"levels.":[38],"Our":[39,165],"approach":[40],"involves":[41],"an":[42,76],"offline":[43],"preprocessing":[44],"phase":[45],"builds":[47],"layout":[49],"by":[53],"assigning":[54],"coordinates":[55],"its":[57],"nodes":[58],"respect":[60],"Euclidean":[63],"plane.":[64],"respective":[66],"points":[67],"are":[68,93,99],"indexed":[69,100],"spatial":[72,131],"data":[73],"structure,":[74],"i.e.,":[75],"R-tree,":[77],"and":[78,97,128,154,157,178],"stored":[79],"database.":[82],"Multiple":[83],"abstraction":[84],"layers":[85],"based":[89],"on":[90,116,182],"various":[91],"criteria":[92],"also":[94],"created":[95],"offline,":[96],"they":[98],"similarly":[101],"so":[102],"can":[106],"explore":[107],"dataset":[109],"different":[111],"levels":[112],"granularity,":[114],"depending":[115],"her":[117],"particular":[118],"needs.":[119],"Then,":[120],"our":[121],"system":[122],"translates":[123],"operations":[125,132],"into":[126],"simple":[127],"efficient":[130],"(i.e.,":[133],"window":[134],"queries)":[135],"backend.":[138],"This":[139],"technique":[140],"allows":[141],"fine-grained":[144],"access":[145],"graphs":[149],"extremely":[151],"low":[152],"latency":[153],"memory":[155],"requirements":[156],"without":[158],"compromising":[159],"functionality":[161],"tool.":[164],"web-based":[166],"prototype":[167],"supports":[168],"three":[169],"main":[170],"operations:":[171],"(1)":[172],"navigation,":[174],"(2)":[175],"multi-level":[176],"exploration,":[177],"(3)":[179],"keyword":[180],"search":[181],"metadata.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
