{"id":"https://openalex.org/W3107198251","doi":"https://doi.org/10.1177/1473871620972339","title":"Stable visualization of connected components in dynamic graphs","display_name":"Stable visualization of connected components in dynamic graphs","publication_year":2020,"publication_date":"2020-11-24","ids":{"openalex":"https://openalex.org/W3107198251","doi":"https://doi.org/10.1177/1473871620972339","mag":"3107198251"},"language":"en","primary_location":{"id":"doi:10.1177/1473871620972339","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871620972339","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-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/A5029525801","display_name":"Emilio Di Giacomo","orcid":"https://orcid.org/0000-0002-9794-1928"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emilio Di Giacomo","raw_affiliation_strings":["University of Perugia, Perugia, Umbria, Italy"],"affiliations":[{"raw_affiliation_string":"University of Perugia, Perugia, Umbria, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018323496","display_name":"Walter Didimo","orcid":"https://orcid.org/0000-0002-4379-6059"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Walter Didimo","raw_affiliation_strings":["University of Perugia, Perugia, Umbria, Italy"],"affiliations":[{"raw_affiliation_string":"University of Perugia, Perugia, Umbria, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045561","display_name":"Michael Kaufmann","orcid":"https://orcid.org/0000-0001-9186-3538"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Kaufmann","raw_affiliation_strings":["University of T\u00fcbingen, Tubingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, Tubingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008995859","display_name":"Giuseppe Liotta","orcid":"https://orcid.org/0000-0002-2886-9694"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Liotta","raw_affiliation_strings":["University of Perugia, Perugia, Umbria, Italy"],"affiliations":[{"raw_affiliation_string":"University of Perugia, Perugia, Umbria, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018323496"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51107414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"3","last_page":"19"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9987000226974487,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.860462486743927},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8525536060333252},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6398050785064697},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.6025271415710449},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5534477829933167},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5339748859405518},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5122405886650085},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.486537367105484},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4656772017478943},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4480217695236206},{"id":"https://openalex.org/keywords/graph-layout","display_name":"Graph Layout","score":0.4366602897644043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3856760561466217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34510937333106995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23175767064094543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14681777358055115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.860462486743927},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8525536060333252},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6398050785064697},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.6025271415710449},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5534477829933167},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5339748859405518},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5122405886650085},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.486537367105484},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4656772017478943},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4480217695236206},{"id":"https://openalex.org/C2911174283","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph Layout","level":4,"score":0.4366602897644043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3856760561466217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34510937333106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23175767064094543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14681777358055115},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1473871620972339","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871620972339","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W634834491","https://openalex.org/W1658988203","https://openalex.org/W1916693793","https://openalex.org/W1968046624","https://openalex.org/W1971417331","https://openalex.org/W1986069861","https://openalex.org/W1995667331","https://openalex.org/W1997702225","https://openalex.org/W1997952588","https://openalex.org/W1998294201","https://openalex.org/W2002107883","https://openalex.org/W2005011141","https://openalex.org/W2009664208","https://openalex.org/W2013378906","https://openalex.org/W2018472489","https://openalex.org/W2082860561","https://openalex.org/W2084784960","https://openalex.org/W2096814473","https://openalex.org/W2099864932","https://openalex.org/W2100112610","https://openalex.org/W2102664288","https://openalex.org/W2103042929","https://openalex.org/W2106268337","https://openalex.org/W2109219757","https://openalex.org/W2112807164","https://openalex.org/W2116856566","https://openalex.org/W2127330160","https://openalex.org/W2133205243","https://openalex.org/W2146058249","https://openalex.org/W2146156581","https://openalex.org/W2147824439","https://openalex.org/W2149688458","https://openalex.org/W2153157180","https://openalex.org/W2158804744","https://openalex.org/W2287322623","https://openalex.org/W2344045089","https://openalex.org/W2407853053","https://openalex.org/W2468929674","https://openalex.org/W2520682180","https://openalex.org/W2747941151","https://openalex.org/W2763723160","https://openalex.org/W2802376702","https://openalex.org/W2810914486","https://openalex.org/W2905015557","https://openalex.org/W2963423724","https://openalex.org/W2963463283","https://openalex.org/W2991510048","https://openalex.org/W3008872892","https://openalex.org/W3103000343","https://openalex.org/W3103316317","https://openalex.org/W4231431925","https://openalex.org/W4242665259"],"related_works":["https://openalex.org/W2010800245","https://openalex.org/W1912392752","https://openalex.org/W2525150146","https://openalex.org/W2026729066","https://openalex.org/W3009784074","https://openalex.org/W1912645081","https://openalex.org/W2377311228","https://openalex.org/W2583175499","https://openalex.org/W4288051214","https://openalex.org/W3089914529"],"abstract_inverted_index":{"One":[0],"of":[1,5,12,21,27,42,84,103,111,152,161,167,178,186],"the":[2,9,19,22,25,32,35,72,80,85,89,106,123,127,130,136,150,158,162,175],"primary":[3],"goals":[4],"many":[6],"systems":[7],"for":[8,122,129],"visual":[10],"analysis":[11,155],"dynamically":[13],"changing":[14],"networks":[15],"is":[16,64,69,99],"to":[17,70],"maintain":[18],"stability":[20,98,160],"drawing":[23,97,159],"throughout":[24],"sequence":[26,177],"graph":[28,86],"changes.":[29],"We":[30,115,180],"investigate":[31],"scenario":[33],"where":[34],"changes":[36,104],"are":[37,139],"determined":[38],"by":[39],"a":[40,183,191],"stream":[41],"events,":[43],"each":[44,61,94],"being":[45],"either":[46],"an":[47,51,75,153,168],"edge":[48,52],"addition":[49],"or":[50],"removal.":[53],"The":[54,96],"visualization":[55,77,119],"must":[56],"be":[57],"updated":[58],"immediately":[59],"after":[60,93],"new":[62],"event":[63],"received.":[65],"Our":[66],"main":[67],"goal":[68],"provide":[71],"user":[73],"with":[74,165],"intuitive":[76],"that":[78,156,166,171],"highlights":[79],"different":[81,118],"connected":[82,137],"components":[83,138],"while":[87],"preserving":[88],"user\u2019s":[90],"mental":[91],"map":[92],"event.":[95],"measured":[100],"in":[101,105,173],"terms":[102],"orthogonal":[107],"relationships":[108],"between":[109],"vertices":[110],"two":[112,117],"consecutive":[113],"drawings.":[114],"describe":[116],"models,":[120],"one":[121],"1-dimensional":[124],"space":[125],"and":[126],"other":[128],"2-dimensional":[131],"space.":[132],"In":[133],"both":[134],"models":[135],"drawn":[140],"inside":[141],"rectangular":[142],"regions.":[143],"To":[144],"validate":[145],"our":[146,187],"approach,":[147],"we":[148],"report":[149],"results":[151],"experimental":[154],"compares":[157],"online":[163,188],"algorithm":[164,170,189],"offline":[169],"knows":[172],"advance":[174],"whole":[176],"events.":[179],"also":[181],"present":[182],"case":[184],"study":[185],"on":[190],"collaboration":[192],"network.":[193]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}