{"id":"https://openalex.org/W3145220791","doi":"https://doi.org/10.1109/tnse.2021.3067665","title":"Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs","display_name":"Delta-Screening: A Fast and Efficient Technique to Update Communities in Dynamic Graphs","publication_year":2021,"publication_date":"2021-03-23","ids":{"openalex":"https://openalex.org/W3145220791","doi":"https://doi.org/10.1109/tnse.2021.3067665","mag":"3145220791"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2021.3067665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3067665","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09384277.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09384277.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072638150","display_name":"Neda Zarayeneh","orcid":"https://orcid.org/0000-0001-6323-315X"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neda Zarayeneh","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6323-315X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103010775","display_name":"Ananth Kalyanaraman","orcid":"https://orcid.org/0000-0003-3495-2264"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananth Kalyanaraman","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3495-2264","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.944,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.73154174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"8","issue":"2","first_page":"1614","last_page":"1629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":1.0,"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":1.0,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9962000250816345,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9932000041007996,"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/modularity","display_name":"Modularity (biology)","score":0.7433183193206787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304027080535889},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.7098878026008606},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6952821016311646},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6156101822853088},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5554766654968262},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5158021450042725},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49662715196609497},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48315924406051636},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.41574689745903015},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3896651566028595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33613866567611694},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.333462119102478},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2671635150909424},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15292298793792725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14538469910621643}],"concepts":[{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7433183193206787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304027080535889},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7098878026008606},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6952821016311646},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6156101822853088},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5554766654968262},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5158021450042725},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49662715196609497},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48315924406051636},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.41574689745903015},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3896651566028595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33613866567611694},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.333462119102478},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2671635150909424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15292298793792725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14538469910621643},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2021.3067665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3067665","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09384277.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tnse.2021.3067665","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3067665","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9475902/09384277.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2466898058","display_name":"SHF: Small: Parallel Algorithms and Architectures Enabling Extreme-scale Graph Analytics for Biocomputing Applications","funder_award_id":"1815467","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4616156414","display_name":"OAC Core: Small: Sust-CI: A Machine Learning based Approach to Make Advanced Cyberinfrastructure Applications More Efficient and Sustainable","funder_award_id":"1910213","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3145220791.pdf","grobid_xml":"https://content.openalex.org/works/W3145220791.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W84002096","https://openalex.org/W1525077705","https://openalex.org/W1592690888","https://openalex.org/W1694128711","https://openalex.org/W1778020744","https://openalex.org/W1890592509","https://openalex.org/W1966119405","https://openalex.org/W1967087957","https://openalex.org/W1968656203","https://openalex.org/W1971421925","https://openalex.org/W1983099884","https://openalex.org/W1984689597","https://openalex.org/W2014714110","https://openalex.org/W2016397010","https://openalex.org/W2047940964","https://openalex.org/W2069842305","https://openalex.org/W2070232376","https://openalex.org/W2089458547","https://openalex.org/W2092124750","https://openalex.org/W2095189226","https://openalex.org/W2097876158","https://openalex.org/W2109726592","https://openalex.org/W2122278421","https://openalex.org/W2127048411","https://openalex.org/W2128366083","https://openalex.org/W2129043771","https://openalex.org/W2131681506","https://openalex.org/W2145977038","https://openalex.org/W2157797752","https://openalex.org/W2166563561","https://openalex.org/W2169404653","https://openalex.org/W2288862157","https://openalex.org/W2289573094","https://openalex.org/W2369012075","https://openalex.org/W2510625830","https://openalex.org/W2550900126","https://openalex.org/W2558632230","https://openalex.org/W2734601503","https://openalex.org/W2752751166","https://openalex.org/W2755088640","https://openalex.org/W2890607553","https://openalex.org/W2907750160","https://openalex.org/W2914201910","https://openalex.org/W2921596575","https://openalex.org/W2936687350","https://openalex.org/W2943988745","https://openalex.org/W2946387849","https://openalex.org/W2963507537","https://openalex.org/W2963519970","https://openalex.org/W2963666064","https://openalex.org/W2963737607","https://openalex.org/W2975802621","https://openalex.org/W2982049632","https://openalex.org/W3004482892","https://openalex.org/W3037819556","https://openalex.org/W3098858271","https://openalex.org/W3099768174","https://openalex.org/W3100897674","https://openalex.org/W3102641634","https://openalex.org/W3102812440","https://openalex.org/W3106209931","https://openalex.org/W3125626040","https://openalex.org/W4229753935","https://openalex.org/W6603438164","https://openalex.org/W6631268286","https://openalex.org/W6637627553","https://openalex.org/W6744271739","https://openalex.org/W6759273444","https://openalex.org/W7048860656"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2031382974","https://openalex.org/W2162849529"],"abstract_inverted_index":{"Detecting":[0],"communities":[1,54,78],"in":[2,10,55,149],"time-evolving/dynamic":[3],"networks":[4],"is":[5,65,143,189],"an":[6],"important":[7],"operation":[8],"used":[9],"many":[11],"real-world":[12,175],"network":[13,178],"science":[14],"applications.":[15],"While":[16],"there":[17],"have":[18],"been":[19],"several":[20],"proposed":[21],"strategies":[22],"for":[23,52,79,126],"dynamic":[24,57,163],"community":[25,127],"detection,":[26],"such":[27],"approaches":[28],"do":[29],"not":[30],"necessarily":[31],"take":[32],"advantage":[33],"of":[34,37,70,77,86,104,196,228],"the":[35,63,84,90,113,116,121,169,197,221],"locality":[36],"changes.":[38],"In":[39,213],"this":[40,134],"paper,":[41],"we":[42,215],"present":[43],"a":[44,56,68,75,102,235],"new":[45],"technique":[46,60,92,188],"called":[47],"Delta-Screening":[48],"(or":[49],"simply,":[50],"\u0394-screening)":[51],"updating":[53],"graph.":[58],"The":[59,186],"assumes":[61],"that":[62,106,133],"graph":[64],"given":[66,236],"as":[67],"series":[69],"time":[71,81,88],"steps,":[72],"and":[73,98,100,159,176,184,211],"outputs":[74],"set":[76],"each":[80,87],"step.":[82],"At":[83],"start":[85],"step,":[89],"\u0394-screening":[91,187,222],"examines":[93],"all":[94],"changes":[95],"(edge":[96],"additions":[97,183],"deletions)":[99],"computes":[101],"subset":[103],"vertices":[105,141],"are":[107,124],"likely":[108],"to":[109,139,145,153,191,219,224,233],"be":[110,192],"impacted":[111],"by":[112],"change":[114],"(using":[115],"modularity":[117],"objective).":[118],"Subsequently,":[119],"only":[120],"identified":[122],"subsets":[123],"processed":[125],"state":[128],"updates.":[129],"Our":[130],"experiments":[131],"demonstrate":[132],"scheme,":[135],"despite":[136],"its":[137],"ability":[138],"prune":[140],"aggressively,":[142],"able":[144],"generate":[146],"significant":[147],"savings":[148],"runtime":[150],"performance":[151],"(up":[152],"38\u00d7":[154],"speedup":[155],"over":[156,162],"static":[157],"baseline":[158,164],"5":[160],"\u00d7":[161],"implementations),":[165],"without":[166],"compromising":[167],"on":[168,173],"quality.":[170],"We":[171,202],"test":[172],"both":[174,181],"synthetic":[177],"inputs":[179],"containing":[180],"edge":[182],"deletions.":[185],"generic":[190],"incorporated":[193],"into":[194],"any":[195],"existing":[198],"modularity-optimizing":[199],"clustering":[200,207],"algorithms.":[201],"tested":[203],"using":[204],"two":[205],"state-of-the-art":[206],"implementations,":[208],"namely,":[209],"Louvain":[210],"SLM.":[212],"addition,":[214],"also":[216],"show":[217],"how":[218],"use":[220],"approach":[223],"delineate":[225],"appropriate":[226],"intervals":[227],"temporal":[229],"resolutions":[230],"at":[231],"which":[232],"analyze":[234],"input":[237],"network.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
