{"id":"https://openalex.org/W4411800117","doi":"https://doi.org/10.1109/ccgrid64434.2025.00046","title":"ParaDyMS: Parallel Dynamic Motif Counting at Scale","display_name":"ParaDyMS: Parallel Dynamic Motif Counting at Scale","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4411800117","doi":"https://doi.org/10.1109/ccgrid64434.2025.00046"},"language":"en","primary_location":{"id":"doi:10.1109/ccgrid64434.2025.00046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid64434.2025.00046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)","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/A5090631925","display_name":"Ali Khan","orcid":"https://orcid.org/0000-0002-0938-451X"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Khan","raw_affiliation_strings":["University of North Texas,Denton,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Denton,USA","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019570466","display_name":"Nigel Tan","orcid":"https://orcid.org/0000-0003-4699-8657"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nigel Tan","raw_affiliation_strings":["University of Tennessee Knoxville,Knoxville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee Knoxville,Knoxville,USA","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074559167","display_name":"Jack Marquez","orcid":"https://orcid.org/0000-0002-2673-3507"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Marquez","raw_affiliation_strings":["University of Tennessee Knoxville,Knoxville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee Knoxville,Knoxville,USA","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078387820","display_name":"Michela Taufer","orcid":"https://orcid.org/0000-0002-0031-6377"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michela Taufer","raw_affiliation_strings":["University of Tennessee Knoxville,Knoxville,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee Knoxville,Knoxville,USA","institution_ids":["https://openalex.org/I2802706902","https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064623347","display_name":"Sanjukta Bhowmick","orcid":"https://orcid.org/0000-0001-8550-5371"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjukta Bhowmick","raw_affiliation_strings":["University of North Texas,Denton,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas,Denton,USA","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10688171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.982200026512146,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.982200026512146,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9769999980926514,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9667999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.6945304870605469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296498775482178},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35513144731521606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32290393114089966},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07852289080619812}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.6945304870605469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296498775482178},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35513144731521606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32290393114089966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07852289080619812},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccgrid64434.2025.00046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid64434.2025.00046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6099462776","display_name":"SHF: Medium: Collaborative Research: ANACIN-X:  Analysis and modeling of Nondeterminism and Associated Costs in eXtreme scale applications","funder_award_id":"1900765","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":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2097056866","https://openalex.org/W2104812688","https://openalex.org/W2153624566","https://openalex.org/W2159156271","https://openalex.org/W2241571695","https://openalex.org/W2533003199","https://openalex.org/W2543598748","https://openalex.org/W2786841533","https://openalex.org/W2804080114","https://openalex.org/W2963512530","https://openalex.org/W2996939161","https://openalex.org/W3013028797","https://openalex.org/W3084963370","https://openalex.org/W3129485837","https://openalex.org/W3135378849","https://openalex.org/W3175031943","https://openalex.org/W4362607965","https://openalex.org/W4390189048","https://openalex.org/W7065437122"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3170299350","https://openalex.org/W2368410102","https://openalex.org/W2605676258","https://openalex.org/W2368037387","https://openalex.org/W190186656","https://openalex.org/W2902352756","https://openalex.org/W2377079823"],"abstract_inverted_index":{"Motifs":[0],"in":[1,54,122,137,200],"graphs":[2],"(or":[3],"networks)":[4],"are":[5],"subgraphs":[6],"induced":[7],"by":[8,196,207],"a":[9,58],"small":[10],"set":[11],"of":[12,21,51,88,134,141,145,153],"vertices":[13],"such":[14,33],"as":[15,34],"triangles":[16],"and":[17,27,37,79,157,159,173,187],"cliques.":[18],"The":[19],"frequency":[20],"motifs":[22,53,82,135,195],"is":[23,184],"used":[24],"to":[25,46,98,193],"compare":[26,161],"align":[28],"networks":[29,55,68,76,90,125],"across":[30],"various":[31],"domains,":[32],"biology,":[35],"epidemiology,":[36],"social":[38],"sciences.":[39],"Recent":[40],"advances":[41],"have":[42],"made":[43],"it":[44],"feasible":[45],"solve":[47],"the":[48,70,85,103,114,132,138,142,154,191,201],"computational":[49],"challenge":[50,94],"counting":[52],"with":[56,84,165],"over":[57],"billion":[59],"edges.":[60],"However,":[61],"these":[62,89],"algorithms":[63],"apply":[64],"only":[65,136],"for":[66,118],"static":[67,168],"where":[69],"structure":[71],"remains":[72,91],"unchanged.":[73],"In":[74],"reality,":[75],"dynamically":[77],"evolve,":[78],"understanding":[80],"how":[81],"change":[83],"dynamic":[86,124],"nature":[87],"an":[92],"unsolved":[93],"despite":[95],"its":[96,162],"potential":[97],"provide":[99,151],"essential":[100],"insights":[101],"into":[102],"system.":[104],"We":[105,150],"present":[106],"ParaDyMS":[107],"(Parallel":[108],"Dynamic":[109],"Motif":[110],"Counting":[111],"at":[112],"Scale),":[113],"first":[115],"parallel":[116],"algorithm":[117,130,169,183],"updating":[119],"motif":[120],"counts":[121],"fully":[123],"using":[126,175],"batched":[127],"updates.":[128],"Our":[129,178],"updates":[131],"frequencies":[133],"modified":[139],"parts":[140],"network":[143],"instead":[144],"recomputing":[146],"them":[147],"from":[148],"scratch.":[149],"proof":[152],"algorithm's":[155],"correctness":[156],"complexity":[158],"empirically":[160],"execution":[163],"time":[164,192],"another":[166],"state-of-the-art":[167],"on":[170,205],"shared":[171],"memory":[172],"GPUs":[174],"realworld":[176],"networks.":[177],"results":[179],"show":[180],"that":[181],"our":[182],"highly":[185],"scalable":[186],"can":[188],"significantly":[189],"reduce":[190],"compute":[194],"more":[197],"than":[198],"90%":[199],"best":[202],"case":[203],"and,":[204],"average,":[206],"69%.":[208]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
