{"id":"https://openalex.org/W2507191355","doi":"https://doi.org/10.1145/2980523.2980525","title":"Beyond nodes and edges","display_name":"Beyond nodes and edges","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2507191355","doi":"https://doi.org/10.1145/2980523.2980525","mag":"2507191355"},"language":"en","primary_location":{"id":"doi:10.1145/2980523.2980525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980523.2980525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics","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/A5091272738","display_name":"Jure Leskovec","orcid":"https://orcid.org/0000-0002-5411-923X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jure Leskovec","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091272738"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.221,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58344902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9732999801635742,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9635999798774719,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7431493997573853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221396923065186},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6176295280456543},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5800725817680359},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47841936349868774},{"id":"https://openalex.org/keywords/evolving-networks","display_name":"Evolving networks","score":0.45929306745529175},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.4156127870082855},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3247377574443817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3071215748786926}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7431493997573853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221396923065186},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6176295280456543},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5800725817680359},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47841936349868774},{"id":"https://openalex.org/C36647736","wikidata":"https://www.wikidata.org/wiki/Q5418752","display_name":"Evolving networks","level":3,"score":0.45929306745529175},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.4156127870082855},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3247377574443817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3071215748786926},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2980523.2980525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980523.2980525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2187556559","https://openalex.org/W2082867051","https://openalex.org/W2069442775","https://openalex.org/W4210291460","https://openalex.org/W3157957316","https://openalex.org/W3166476493","https://openalex.org/W3121544743","https://openalex.org/W2813611449","https://openalex.org/W2963858135","https://openalex.org/W2101580881"],"abstract_inverted_index":{"Networks":[0],"are":[1,21,127],"a":[2,62,100],"fundamental":[3],"tool":[4],"for":[5,65],"understanding":[6],"and":[7,16,39,86,111],"modeling":[8],"complex":[9,45],"systems":[10],"in":[11,99,108,114],"physics,":[12],"biology,":[13],"neuroscience,":[14],"engineering,":[15],"social":[17],"science.":[18],"Many":[19],"networks":[20,46,67,89,110,120],"known":[22],"to":[23,88],"exhibit":[24,121],"rich,":[25],"lower-order":[26],"connectivity":[27,73,134],"patterns":[28],"that":[29,119,126],"can":[30],"be":[31],"captured":[32],"at":[33,48],"the":[34,49,69,81],"level":[35,50],"of":[36,44,51,71,83,92,102],"individual":[37],"nodes":[38],"edges.":[40,93],"However,":[41],"higher-order":[42,72,97,123,133],"organization":[43,98],"--":[47,55],"small":[52],"network":[53],"subgraphs":[54],"remains":[56],"largely":[57],"unknown.":[58],"Here,":[59],"we":[60],"develop":[61],"generalized":[63],"framework":[64,76,95],"clustering":[66,130],"on":[68,80,132],"basis":[70],"patterns.":[74,135],"This":[75],"provides":[77],"mathematical":[78],"guarantees":[79],"optimality":[82],"obtained":[84],"clusters":[85],"scales":[87],"with":[90],"billions":[91],"The":[94],"reveals":[96],"number":[101],"networks,":[103],"including":[104],"information":[105],"propagation":[106],"units":[107],"neuronal":[109],"hub":[112],"structure":[113],"transportation":[115],"networks.":[116],"Results":[117],"show":[118],"rich":[122],"organizational":[124],"structures":[125],"exposed":[128],"by":[129],"based":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}