{"id":"https://openalex.org/W3216418890","doi":"https://doi.org/10.1145/3472955","title":"Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks","display_name":"Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks","publication_year":2021,"publication_date":"2021-11-22","ids":{"openalex":"https://openalex.org/W3216418890","doi":"https://doi.org/10.1145/3472955","mag":"3216418890"},"language":"en","primary_location":{"id":"doi:10.1145/3472955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472955","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5083898606","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0003-2864-7984"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lili Wang","raw_affiliation_strings":["Dartmouth College, NH 03755, Hanover, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, NH 03755, Hanover, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897633","display_name":"Cheng\u2010Han Huang","orcid":"https://orcid.org/0009-0008-7039-7564"},"institutions":[{"id":"https://openalex.org/I4210147799","display_name":"Millennium Engineering and Integration (United States)","ror":"https://ror.org/05qmdfk04","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenghan Huang","raw_affiliation_strings":["Millennium Management LLC, New York, USA"],"affiliations":[{"raw_affiliation_string":"Millennium Management LLC, New York, USA","institution_ids":["https://openalex.org/I4210147799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358936","display_name":"Ying L\u00fc","orcid":"https://orcid.org/0000-0002-4206-231X"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Lu","raw_affiliation_strings":["Stony Brook University, 100 Nicolls Rd., Stony Brook, NY 11794, New York, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, 100 Nicolls Rd., Stony Brook, NY 11794, New York, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043402333","display_name":"Weicheng Ma","orcid":"https://orcid.org/0000-0001-7494-9874"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weicheng Ma","raw_affiliation_strings":["Dartmouth College, NH 03755, Hanover, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, NH 03755, Hanover, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023339675","display_name":"Ruibo Liu","orcid":"https://orcid.org/0000-0002-5163-966X"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruibo Liu","raw_affiliation_strings":["Dartmouth College, NH 03755, Hanover, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, NH 03755, Hanover, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035399743","display_name":"Soroush Vosoughi","orcid":"https://orcid.org/0000-0002-2564-8909"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroush Vosoughi","raw_affiliation_strings":["Dartmouth College, NH 03755, Hanover, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College, NH 03755, Hanover, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083898606"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":1.3597,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84878434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.991100013256073,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9757999777793884,"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/computer-science","display_name":"Computer science","score":0.8564949035644531},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6583490371704102},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6380475759506226},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.5660703182220459},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5038582682609558},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4782063961029053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44504451751708984},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4261907637119293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33160361647605896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32964205741882324},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13228219747543335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8564949035644531},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6583490371704102},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6380475759506226},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.5660703182220459},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5038582682609558},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4782063961029053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44504451751708984},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4261907637119293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33160361647605896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32964205741882324},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13228219747543335},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3472955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3472955","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1864134408","https://openalex.org/W1888005072","https://openalex.org/W1917516492","https://openalex.org/W2005556331","https://openalex.org/W2017099446","https://openalex.org/W2035036132","https://openalex.org/W2057069782","https://openalex.org/W2057685268","https://openalex.org/W2064675550","https://openalex.org/W2069849731","https://openalex.org/W2090891622","https://openalex.org/W2103527066","https://openalex.org/W2132613313","https://openalex.org/W2144994235","https://openalex.org/W2154851992","https://openalex.org/W2168050336","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2519887557","https://openalex.org/W2583689815","https://openalex.org/W2592422582","https://openalex.org/W2607500032","https://openalex.org/W2739747364","https://openalex.org/W2765386553","https://openalex.org/W2767849480","https://openalex.org/W2768092833","https://openalex.org/W2788114581","https://openalex.org/W2788503006","https://openalex.org/W2792234394","https://openalex.org/W2798918712","https://openalex.org/W2804558096","https://openalex.org/W2806983170","https://openalex.org/W2808867307","https://openalex.org/W2808908091","https://openalex.org/W2810396878","https://openalex.org/W2925436546","https://openalex.org/W2962756421","https://openalex.org/W2963165299","https://openalex.org/W2964015378","https://openalex.org/W2973697852","https://openalex.org/W2986068433","https://openalex.org/W2996451395","https://openalex.org/W2997437965","https://openalex.org/W2998116985","https://openalex.org/W3006130793","https://openalex.org/W3010920176","https://openalex.org/W3025882279","https://openalex.org/W3093506553","https://openalex.org/W3096399240","https://openalex.org/W3101539809","https://openalex.org/W3102794461","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W3111962319","https://openalex.org/W3122868618","https://openalex.org/W3177021555","https://openalex.org/W4288103428","https://openalex.org/W4288560552","https://openalex.org/W4297733535","https://openalex.org/W6751747363"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2932872266","https://openalex.org/W4288391523","https://openalex.org/W3096979431"],"abstract_inverted_index":{"Complex":[0],"user":[1,185],"behavior,":[2],"especially":[3],"in":[4,71,127,140,166,187],"settings":[5],"such":[6],"as":[7,13,196],"social":[8],"media,":[9],"can":[10,20,90,179,193,235],"be":[11,180,194,236],"organized":[12],"time-evolving":[14,216],"networks.":[15,73,130,217,228],"Through":[16,149],"network":[17,46,205,221],"embedding,":[18],"we":[19,117,157,199,230],"extract":[21],"general-purpose":[22],"vector":[23],"representations":[24,93,98],"of":[25,54,64,68,103,112],"these":[26,88,97],"dynamic":[27,72,85,95,129,141,145,184],"networks":[28,142],"which":[29],"allow":[30],"us":[31],"to":[32,44,143,182],"analyze":[33],"them":[34],"without":[35],"extensive":[36],"feature":[37],"engineering.":[38],"Prior":[39],"work":[40],"has":[41],"shown":[42],"how":[43,232],"generate":[45],"embeddings":[47,126,210],"while":[48],"preserving":[49],"the":[50,61,65,69,77,100,109],"structural":[51,66,110,124,146,169],"role":[52,147],"proximity":[53],"nodes.":[55,113,197],"These":[56],"methods,":[57],"however,":[58],"cannot":[59],"capture":[60,99],"temporal":[62,155],"evolution":[63],"identity":[67],"nodes":[70,104],"Other":[74],"works,":[75],"on":[76,82,151,224,243],"other":[78,163],"hand,":[79],"have":[80],"focused":[81],"learning":[83,123],"microscopic":[84],"embeddings.":[86,148],"Though":[87],"methods":[89,165],"learn":[91,108,144],"node":[92,125],"over":[94],"networks,":[96],"local":[101],"context":[102],"and":[105,153,171,226],"do":[106],"not":[107],"roles":[111],"In":[114],"this":[115],"article,":[116],"propose":[118,200],"a":[119,201],"novel":[120,202],"method":[121,161,203,223,234],"for":[122,211,238],"discrete-time":[128],"Our":[131],"method,":[132],"called":[133],"HR2vec":[134,178,209],",":[135],"tracks":[136],"historical":[137,172],"topology":[138],"information":[139,173,241],"experiments":[150],"synthetic":[152,225],"real-world":[154,227],"datasets,":[156],"show":[158],"that":[159,207],"our":[160,220,233],"outperforms":[162],"well-known":[164],"tasks":[167],"where":[168,191],"equivalence":[170],"both":[174],"play":[175],"important":[176],"roles.":[177],"used":[181,237],"model":[183],"behavior":[186],"any":[188],"networked":[189],"setting":[190],"users":[192],"represented":[195],"Additionally,":[198],"(called":[204],"fingerprinting)":[206],"uses":[208],"modeling":[212],"whole":[213],"(or":[214],"partial)":[215],"We":[218],"showcase":[219],"fingerprinting":[222],"Specifically,":[229],"demonstrate":[231],"detecting":[239],"foreign-backed":[240],"operations":[242],"Twitter.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
