{"id":"https://openalex.org/W3209250328","doi":"https://doi.org/10.1145/3459637.3482370","title":"Mining Bursty Groups from Interaction Data","display_name":"Mining Bursty Groups from Interaction Data","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209250328","doi":"https://doi.org/10.1145/3459637.3482370","mag":"3209250328"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482370","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011185168","display_name":"Alexander Gorovits","orcid":"https://orcid.org/0000-0002-5067-6557"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Gorovits","raw_affiliation_strings":["University at Albany -- SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany -- SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040295345","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0001-9075-2035"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["Tencent.com, Albany, China"],"affiliations":[{"raw_affiliation_string":"Tencent.com, Albany, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028367791","display_name":"Ekta Gujral","orcid":"https://orcid.org/0000-0001-7255-3374"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ekta Gujral","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evangelos Papalexakis","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001272357","display_name":"Petko Bogdanov","orcid":"https://orcid.org/0000-0001-6310-3224"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petko Bogdanov","raw_affiliation_strings":["University at Albany -- SUNY, Albany, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Albany -- SUNY, Albany, NY, USA","institution_ids":["https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011185168"],"corresponding_institution_ids":["https://openalex.org/I392282"],"apc_list":null,"apc_paid":null,"fwci":0.2625,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55560351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"605"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9961000084877014,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/burstiness","display_name":"Burstiness","score":0.945261538028717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8047769069671631},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6369642019271851},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.5592026114463806},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5399930477142334},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45991578698158264},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4553963243961334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4536331593990326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3861560821533203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3602377772331238}],"concepts":[{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.945261538028717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8047769069671631},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6369642019271851},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.5592026114463806},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5399930477142334},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45991578698158264},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4553963243961334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4536331593990326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3861560821533203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3602377772331238},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3459637.3482370","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482370","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482370","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1748236327","display_name":null,"funder_award_id":"CMMI-1831547","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2202872492","display_name":null,"funder_award_id":"2046086","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3341429567","display_name":null,"funder_award_id":"CMMI-1831547","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G3387330441","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G3814316708","display_name":null,"funder_award_id":"1831547","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5954070948","display_name":null,"funder_award_id":"CMMI-","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G657183182","display_name":null,"funder_award_id":"IIS 2046086","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8685228800","display_name":null,"funder_award_id":"1901379","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"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209250328.pdf","grobid_xml":"https://content.openalex.org/works/W3209250328.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W132921321","https://openalex.org/W765926614","https://openalex.org/W1494985239","https://openalex.org/W1526991336","https://openalex.org/W1528751587","https://openalex.org/W1655843738","https://openalex.org/W1850275953","https://openalex.org/W1885791768","https://openalex.org/W1969116741","https://openalex.org/W1972262707","https://openalex.org/W1972833205","https://openalex.org/W1973253288","https://openalex.org/W1974487050","https://openalex.org/W1994219736","https://openalex.org/W1994727741","https://openalex.org/W1998907350","https://openalex.org/W2005941514","https://openalex.org/W2009685860","https://openalex.org/W2024165284","https://openalex.org/W2026302857","https://openalex.org/W2050239729","https://openalex.org/W2062024414","https://openalex.org/W2069849731","https://openalex.org/W2089803230","https://openalex.org/W2092124750","https://openalex.org/W2095021988","https://openalex.org/W2107884625","https://openalex.org/W2108138101","https://openalex.org/W2109469951","https://openalex.org/W2109805691","https://openalex.org/W2115755118","https://openalex.org/W2116650325","https://openalex.org/W2132984323","https://openalex.org/W2153843773","https://openalex.org/W2164278908","https://openalex.org/W2274083067","https://openalex.org/W2406996709","https://openalex.org/W2580917121","https://openalex.org/W2585379441","https://openalex.org/W2611148395","https://openalex.org/W2734601503","https://openalex.org/W2807757065","https://openalex.org/W2809595618","https://openalex.org/W2859042744","https://openalex.org/W2891007919","https://openalex.org/W2949377321","https://openalex.org/W2950470207","https://openalex.org/W2963999633","https://openalex.org/W2964303550","https://openalex.org/W2975802621","https://openalex.org/W3003413336","https://openalex.org/W3013265764","https://openalex.org/W3071263141","https://openalex.org/W3122471732","https://openalex.org/W3125626040","https://openalex.org/W3167351815","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2508200300","https://openalex.org/W4297850514","https://openalex.org/W2138256111","https://openalex.org/W3102147628","https://openalex.org/W4387389613","https://openalex.org/W1586180564"],"abstract_inverted_index":{"Empirical":[0],"studies":[1],"and":[2,72],"theoretical":[3],"models":[4],"both":[5,70],"highlight":[6],"burstinessas":[7],"a":[8,64],"common":[9],"temporal":[10,39,71,107],"pattern":[11],"in":[12,30,36,49,92,109],"online":[13,25,31,102],"behavior.":[14],"A":[15],"key":[16],"driver":[17],"for":[18,82],"burstiness":[19],"is":[20,47,58],"the":[21,93],"self-exciting":[22,66,106],"nature":[23],"of":[24,95],"interactions.":[26],"For":[27],"example,":[28],"posts":[29,35],"groups":[32,103],"often":[33],"incite":[34],"response.":[37],"Such":[38],"dependencies":[40],"are":[41,52,78],"easily":[42],"lost":[43],"when":[44],"interaction":[45],"data":[46],"aggregated":[48],"snapshots":[50],"which":[51],"subsequently":[53],"analyzed":[54],"independently.":[55],"An":[56],"alternative":[57],"to":[59,80],"model":[60],"individual":[61],"interactions":[62],"as":[63,86],"multi-dimensional":[65],"process,":[67],"thus,":[68],"enforcing":[69],"network":[73],"dependencies.":[74],"Point":[75],"processes,":[76],"however,":[77],"challenging":[79],"employ":[81],"large":[83,110],"real-world":[84,111],"datasets":[85],"fitting":[87],"them":[88],"incurs":[89],"super-linear":[90],"cost":[91],"number":[94],"events.":[96],"How":[97],"can":[98],"we":[99],"efficiently":[100],"detect":[101],"exhibiting":[104],"bursty":[105],"behavior":[108],"datasets?":[112]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
