{"id":"https://openalex.org/W2765108993","doi":"https://doi.org/10.1109/hpec.2017.8091047","title":"Scalable static and dynamic community detection using Grappolo","display_name":"Scalable static and dynamic community detection using Grappolo","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2765108993","doi":"https://doi.org/10.1109/hpec.2017.8091047","mag":"2765108993"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2017.8091047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2017.8091047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5075175819","display_name":"Mahantesh Halappanavar","orcid":"https://orcid.org/0000-0002-2323-4753"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahantesh Halappanavar","raw_affiliation_strings":["Pacific Northwest National Laboratory"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058248684","display_name":"Hao Lu","orcid":"https://orcid.org/0000-0001-8941-870X"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["Ok Ridge National Laboratory"],"affiliations":[{"raw_affiliation_string":"Ok Ridge National Laboratory","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048410309","display_name":"Ananth Kalyanaraman","orcid":"https://orcid.org/0000-0001-6721-233X"},"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":["Washington State University"],"affiliations":[{"raw_affiliation_string":"Washington State University","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041853964","display_name":"Antonino Tumeo","orcid":"https://orcid.org/0000-0001-9452-120X"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonino Tumeo","raw_affiliation_strings":["Pacific Northwest National Laboratory"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075175819"],"corresponding_institution_ids":["https://openalex.org/I142606810"],"apc_list":null,"apc_paid":null,"fwci":2.2742,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.88617289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9887999892234802,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9825000166893005,"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":0.8636432886123657},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8518424034118652},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8075814247131348},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6828309297561646},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6343508958816528},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43391120433807373},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41052016615867615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34792107343673706},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34496650099754333},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.336669385433197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22422891855239868},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09628456830978394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8636432886123657},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8518424034118652},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8075814247131348},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6828309297561646},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6343508958816528},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43391120433807373},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41052016615867615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34792107343673706},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34496650099754333},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.336669385433197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22422891855239868},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09628456830978394},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2017.8091047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2017.8091047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W347697680","https://openalex.org/W1981871860","https://openalex.org/W1983345514","https://openalex.org/W2046675429","https://openalex.org/W2047940964","https://openalex.org/W2095293504","https://openalex.org/W2109726592","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2148606196","https://openalex.org/W2172051569","https://openalex.org/W2510625830","https://openalex.org/W2558632230","https://openalex.org/W2732636439","https://openalex.org/W2752751166","https://openalex.org/W3098858271","https://openalex.org/W3099768174","https://openalex.org/W3102641634","https://openalex.org/W6740928600"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W4280645561"],"abstract_inverted_index":{"Graph":[0,107],"clustering,":[1],"popularly":[2],"known":[3],"as":[4,122,163],"community":[5,96,116,168],"detection,":[6],"is":[7],"a":[8,37,44,132],"fundamental":[9],"kernel":[10],"for":[11,95,114],"several":[12,111],"applications":[13],"of":[14,52,67,91],"relevance":[15],"to":[16,49,57,83,100,104],"the":[17,50,53,65,92,105,119,123,129,138,141,164],"Defense":[18],"Advanced":[19],"Research":[20],"Projects":[21],"Agency's":[22],"(DARPA)":[23],"Hierarchical":[24],"Identify":[25],"Verify":[26],"Exploit":[27],"(HIVE)":[28],"Program.":[29],"Clusters":[30],"or":[31],"communities":[32],"represent":[33],"natural":[34],"divisions":[35],"within":[36,43],"network":[38],"that":[39,70,75],"are":[40,76,98],"densely":[41],"connected":[42,48],"cluster":[45],"and":[46,86,148],"sparsely":[47],"rest":[51],"network.":[54],"The":[55],"need":[56],"compute":[58],"clustering":[59],"on":[60,153,160,170],"large":[61],"scale":[62],"data":[63],"necessitates":[64],"development":[66],"efficient":[68],"algorithms":[69,94],"can":[71],"exploit":[72],"modern":[73],"architectures":[74],"fundamentally":[77],"parallel":[78],"in":[79,131],"nature.":[80],"However,":[81],"due":[82],"their":[84],"irregular":[85],"inherently":[87],"sequential":[88],"nature,":[89],"many":[90],"current":[93],"detection":[97,117,169],"challenging":[99],"parallelize.":[101],"In":[102],"response":[103],"HIVE":[106,142],"Challenge,":[108,143],"we":[109,144],"present":[110],"parallelization":[112,155],"heuristics":[113,130],"fast":[115],"using":[118],"Louvain":[120],"method":[121],"serial":[124],"template.":[125],"We":[126,157],"implement":[127],"all":[128],"software":[133],"library":[134],"called":[135],"Grappolo.":[136],"Using":[137],"inputs":[139],"from":[140],"demonstrate":[145],"superior":[146],"performance":[147],"high":[149],"quality":[150],"solutions":[151],"based":[152],"four":[154],"heuristics.":[156],"use":[158],"Grappolo":[159],"static":[161],"graphs":[162],"first":[165],"step":[166],"towards":[167],"streaming":[171],"graphs.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
