{"id":"https://openalex.org/W2585281907","doi":"https://doi.org/10.1109/bigdata.2016.7840704","title":"Scalable dynamic graph summarization","display_name":"Scalable dynamic graph summarization","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2585281907","doi":"https://doi.org/10.1109/bigdata.2016.7840704","mag":"2585281907"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5074181546","display_name":"Ioanna Tsalouchidou","orcid":"https://orcid.org/0000-0002-8560-9565"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Ioanna Tsalouchidou","raw_affiliation_strings":["DTIC, Pompeu Fabra University, Spain"],"affiliations":[{"raw_affiliation_string":"DTIC, Pompeu Fabra University, Spain","institution_ids":["https://openalex.org/I170486558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041680508","display_name":"Gianmarco De Francisci Morales","orcid":"https://orcid.org/0000-0002-2415-494X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gianmarco De Francisci Morales","raw_affiliation_strings":["Qatar Computing Research Institute"],"affiliations":[{"raw_affiliation_string":"Qatar Computing Research Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022272025","display_name":"Francesco Bonchi","orcid":"https://orcid.org/0000-0001-9464-8315"},"institutions":[{"id":"https://openalex.org/I134940468","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188","country_code":"IT","type":"facility","lineage":["https://openalex.org/I134940468"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Bonchi","raw_affiliation_strings":["Algorithmic Data Analytics Lab, ISI Foundation, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Algorithmic Data Analytics Lab, ISI Foundation, Turin, Italy","institution_ids":["https://openalex.org/I134940468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076204770","display_name":"Ricardo Baeza\u2010Yates","orcid":"https://orcid.org/0000-0003-3208-9778"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ricardo Baeza-Yates","raw_affiliation_strings":["DTIC, Pompeu Fabra University, Spain"],"affiliations":[{"raw_affiliation_string":"DTIC, Pompeu Fabra University, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074181546"],"corresponding_institution_ids":["https://openalex.org/I170486558"],"apc_list":null,"apc_paid":null,"fwci":1.5131,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84774324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1032","last_page":"1039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8322008848190308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8167026042938232},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6640217900276184},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.522211492061615},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48240768909454346},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32211124897003174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12844276428222656}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8322008848190308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8167026042938232},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6640217900276184},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.522211492061615},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48240768909454346},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32211124897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12844276428222656},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1550080987","https://openalex.org/W1964669181","https://openalex.org/W1966292582","https://openalex.org/W1992928799","https://openalex.org/W2030451946","https://openalex.org/W2095897464","https://openalex.org/W2100132188","https://openalex.org/W2108781142","https://openalex.org/W2125580539","https://openalex.org/W2162866953","https://openalex.org/W2165533158","https://openalex.org/W2165971212","https://openalex.org/W2170936641","https://openalex.org/W4231029117","https://openalex.org/W6684430665"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"Large-scale":[0],"dynamic":[1,33,105],"graphs":[2],"can":[3],"be":[4],"challenging":[5],"to":[6,11,59,100],"process":[7],"and":[8,14,41,62,87,103,107,119],"store,":[9],"due":[10],"their":[12,39,60],"size":[13],"the":[15,28,36,42,51,54,70,73,76,115],"continuous":[16],"change":[17],"of":[18,30,38,53,75,94,117],"communication":[19,43,63],"patterns":[20],"between":[21],"nodes.":[22],"In":[23],"this":[24,92],"work":[25],"we":[26,108],"address":[27],"problem":[29],"summarizing":[31,91],"large-scale":[32],"graphs,":[34,106],"maintaining":[35],"evolution":[37,74],"structure":[40],"patterns.":[44,64],"Our":[45],"approach":[46],"is":[47],"based":[48],"on":[49,114],"grouping":[50],"nodes":[52,118],"graph":[55,68,77],"in":[56],"supernodes":[57],"according":[58],"connectivity":[61],"The":[65],"resulting":[66],"summary":[67],"preserves":[69],"information":[71],"about":[72],"within":[78],"a":[79],"time":[80],"window.":[81],"We":[82,96],"propose":[83],"two":[84],"online,":[85],"distributed,":[86],"tunable":[88],"algorithms":[89],"for":[90],"type":[93],"graphs.":[95],"apply":[97],"our":[98],"methods":[99],"several":[101],"real-world":[102],"synthetic":[104],"show":[109],"that":[110],"they":[111],"scale":[112],"well":[113],"number":[116],"produce":[120],"high-quality":[121],"summaries.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
