{"id":"https://openalex.org/W2964069854","doi":"https://doi.org/10.24963/ijcai.2017/417","title":"Fast Change Point Detection on Dynamic Social Networks","display_name":"Fast Change Point Detection on Dynamic Social Networks","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2964069854","doi":"https://doi.org/10.24963/ijcai.2017/417","mag":"2964069854"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/417","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/417","pdf_url":"https://www.ijcai.org/proceedings/2017/0417.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0417.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051412956","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-8322-4899"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040814971","display_name":"Aniket Chakrabarti","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniket Chakrabarti","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043074873","display_name":"David Sivakoff","orcid":"https://orcid.org/0000-0001-6976-7814"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Sivakoff","raw_affiliation_strings":["Department of Statistics, The Ohio State University, Columbus, OH, USA","Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinivasan Parthasarathy","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Department of Computer Science and Engineering # Department of Statistics The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":2.343,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89202056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2992","last_page":"2998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.996999979019165,"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":0.996999979019165,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9764999747276306,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.9498761296272278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7743086814880371},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6420533657073975},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5610144734382629},{"id":"https://openalex.org/keywords/evolving-networks","display_name":"Evolving networks","score":0.45949864387512207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3560219407081604},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.24369990825653076},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11534073948860168}],"concepts":[{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.9498761296272278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7743086814880371},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6420533657073975},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5610144734382629},{"id":"https://openalex.org/C36647736","wikidata":"https://www.wikidata.org/wiki/Q5418752","display_name":"Evolving networks","level":3,"score":0.45949864387512207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3560219407081604},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.24369990825653076},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11534073948860168},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/417","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/417","pdf_url":"https://www.ijcai.org/proceedings/2017/0417.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/417","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/417","pdf_url":"https://www.ijcai.org/proceedings/2017/0417.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1264843797","display_name":null,"funder_award_id":"IIS-1550302","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2739156970","display_name":"EAGER: Practical Graph Sparsification on GPUs","funder_award_id":"1550302","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4318646374","display_name":"XPS: FULL: Collaborative Research: PARAGRAPH: Parallel, Scalable Graph Analytics","funder_award_id":"1629548","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5524475831","display_name":"Sampling and Inference in Network Analysis","funder_award_id":"1418265","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964069854.pdf","grobid_xml":"https://content.openalex.org/works/W2964069854.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1500358770","https://openalex.org/W1530957817","https://openalex.org/W1603920809","https://openalex.org/W1830799964","https://openalex.org/W1961165281","https://openalex.org/W1974470274","https://openalex.org/W1985796418","https://openalex.org/W1998724781","https://openalex.org/W2089554624","https://openalex.org/W2093168265","https://openalex.org/W2104042033","https://openalex.org/W2118580485","https://openalex.org/W2119998616","https://openalex.org/W2140690776","https://openalex.org/W2314541930","https://openalex.org/W2489125130","https://openalex.org/W2617301288","https://openalex.org/W2752404929","https://openalex.org/W2802622649","https://openalex.org/W2885246068","https://openalex.org/W2950816291","https://openalex.org/W2952099486","https://openalex.org/W3143219376","https://openalex.org/W4239576669"],"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/W1984677721","https://openalex.org/W2136583165","https://openalex.org/W3011290374","https://openalex.org/W2964069854","https://openalex.org/W4224287209"],"abstract_inverted_index":{"A":[0,41],"number":[1],"of":[2,27],"real":[3,108],"world":[4,109],"problems":[5],"in":[6,39,84],"many":[7],"domains":[8],"(e.g.":[9],"sociology,":[10],"biology,":[11],"political":[12],"science":[13],"and":[14,29,77,107],"communication":[15],"networks)":[16],"can":[17],"be":[18],"modeled":[19],"as":[20],"dynamic":[21,85],"networks":[22,86],"with":[23],"nodes":[24],"representing":[25,31],"entities":[26,35],"interest":[28],"edges":[30],"interactions":[32],"among":[33],"the":[34,48,88,99],"at":[36,57],"different":[37],"points":[38,83],"time.":[40],"common":[42],"representation":[43],"for":[44,80],"such":[45],"models":[46],"is":[47,55,66],"snapshot":[49,89],"model":[50,65],"-":[51],"where":[52],"a":[53],"network":[54],"defined":[56],"logical":[58],"time-stamps.":[59],"An":[60],"important":[61],"problem":[62],"under":[63,87],"this":[64,71],"change":[67,82],"point":[68],"detection.":[69],"In":[70],"work":[72],"we":[73],"devise":[74],"an":[75],"effective":[76],"efficient":[78],"three-step-approach":[79],"detecting":[81],"model.":[90],"Our":[91],"algorithm":[92],"achieves":[93],"up":[94],"to":[95],"9X":[96],"speedup":[97],"over":[98],"state-of-the-art":[100],"while":[101],"improving":[102],"quality":[103],"on":[104],"both":[105],"synthetic":[106],"networks.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}