{"id":"https://openalex.org/W2437552536","doi":"https://doi.org/10.1109/icde.2016.7498314","title":"TOPIC: Toward perfect Influence Graph Summarization","display_name":"TOPIC: Toward perfect Influence Graph Summarization","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2437552536","doi":"https://doi.org/10.1109/icde.2016.7498314","mag":"2437552536"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","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/A5100658547","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0002-1965-2602"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["SKLCS, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLCS, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006449","display_name":"Sibai Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159876","display_name":"Institute of Physics","ror":"https://ror.org/05cvf7v30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210159876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibai Sun","raw_affiliation_strings":["Institute of Physics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Physics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210159876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100838958","display_name":"Xuan Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Xuan","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063157569","display_name":"Yue Su","orcid":"https://orcid.org/0000-0002-6987-3737"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Su","raw_affiliation_strings":["SKLCS, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLCS, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006980420","display_name":"Shuai Ma","orcid":"https://orcid.org/0000-0002-4050-0443"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Ma","raw_affiliation_strings":["SKLSDE, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SKLSDE, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350503","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4749-3060"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1074","last_page":"1085"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9984999895095825,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.996399998664856,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8942360877990723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8144046068191528},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5299903750419617},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5086156129837036},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5047134160995483},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4449401795864105},{"id":"https://openalex.org/keywords/graph-drawing","display_name":"Graph drawing","score":0.4388427436351776},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4294387102127075},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.427814781665802},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4126894176006317},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39924949407577515},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30537015199661255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29626578092575073},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13071292638778687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10087230801582336}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8942360877990723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8144046068191528},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5299903750419617},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5086156129837036},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5047134160995483},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4449401795864105},{"id":"https://openalex.org/C112953755","wikidata":"https://www.wikidata.org/wiki/Q739462","display_name":"Graph drawing","level":3,"score":0.4388427436351776},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4294387102127075},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.427814781665802},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4126894176006317},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39924949407577515},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30537015199661255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29626578092575073},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13071292638778687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10087230801582336},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2016.7498314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","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":23,"referenced_works":["https://openalex.org/W143174683","https://openalex.org/W155548076","https://openalex.org/W1568175246","https://openalex.org/W1949719358","https://openalex.org/W1975946664","https://openalex.org/W1981228603","https://openalex.org/W1981377410","https://openalex.org/W1997315949","https://openalex.org/W2017099446","https://openalex.org/W2022322548","https://openalex.org/W2033198212","https://openalex.org/W2040466831","https://openalex.org/W2061820396","https://openalex.org/W2095293504","https://openalex.org/W2107559689","https://openalex.org/W2108781142","https://openalex.org/W2117831564","https://openalex.org/W2125580539","https://openalex.org/W2127048411","https://openalex.org/W2133919533","https://openalex.org/W2155754954","https://openalex.org/W3102641634","https://openalex.org/W4299798129"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2346931493","https://openalex.org/W2903996962","https://openalex.org/W4312076339","https://openalex.org/W2798726020","https://openalex.org/W45302457","https://openalex.org/W2068726676","https://openalex.org/W325722987","https://openalex.org/W3101257994"],"abstract_inverted_index":{"Summarizing":[0],"large":[1],"influence":[2,45,53,130],"graphs":[3,174],"is":[4,41,61],"crucial":[5],"for":[6],"many":[7],"graph":[8,14,112,131],"visualization":[9],"and":[10,16,105,160,169,187],"mining":[11],"tasks.":[12],"Classical":[13],"clustering":[15],"compression":[17],"algorithms":[18,143],"focus":[19,70],"on":[20,63,71,75,121,183,191],"summarizing":[21],"the":[22,37,42,48,51,64,76,80,92,102,106,111,125,157,161,167,188,192,197,200],"nodes":[23],"by":[24],"their":[25],"structural-level":[26],"or":[27],"attribute-level":[28],"similarities,":[29],"but":[30,59],"usually":[31],"are":[32],"not":[33],"designed":[34],"to":[35,138,172],"characterize":[36],"flow-level":[38],"pattern":[39],"which":[40],"centerpiece":[43],"of":[44,79,91,110,127,142,163,199],"graphs.":[46],"On":[47],"other":[49],"hand,":[50],"social":[52,72],"analysis":[54,194],"has":[55,118],"been":[56],"intensively":[57],"studied,":[58],"little":[60],"done":[62],"summarization":[65,104,202],"problem":[66],"without":[67],"an":[68],"explicit":[69],"networks.":[73],"Building":[74],"recent":[77],"study":[78],"Influence":[81],"Graph":[82],"Summarization":[83],"(IGS),":[84],"this":[85],"paper":[86],"presents":[87],"a":[88,98,115,128,140,148,176],"new":[89],"perspective":[90],"underlying":[93],"flow-based":[94],"heuristic.":[95],"It":[96],"establishes":[97],"direct":[99],"linkage":[100,117],"between":[101],"optimal":[103],"classic":[107],"eigenvector":[108],"centrality":[109],"nodes.":[113],"Such":[114],"theoretic":[116],"important":[119],"implications":[120],"numerous":[122],"aspects":[123],"in":[124,165],"pursuit":[126],"perfect":[129],"summarization.":[132],"In":[133],"particular,":[134],"it":[135],"enables":[136],"us":[137],"develop":[139],"suite":[141],"that":[144],"can:":[145],"1)":[146],"achieve":[147],"near-optimal":[149],"IGS":[150,158],"objective,":[151],"2)":[152],"support":[153],"dynamic":[154],"summarizations":[155],"balancing":[156],"objective":[159],"stability":[162],"transition":[164],"navigating":[166],"summarization,":[168],"3)":[170],"scale":[171],"million-node":[173],"with":[175],"near-linear":[177],"computational":[178],"complexity.":[179],"Both":[180],"quantitative":[181],"experiments":[182],"real-world":[184],"citation":[185],"networks":[186],"user":[189],"studies":[190],"task":[193],"experience":[195],"demonstrate":[196],"effectiveness":[198],"proposed":[201],"algorithms.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
