{"id":"https://openalex.org/W4392425606","doi":"https://doi.org/10.48550/arxiv.2403.00032","title":"Time to Cite: Modeling Citation Networks using the Dynamic Impact\n Single-Event Embedding Model","display_name":"Time to Cite: Modeling Citation Networks using the Dynamic Impact\n Single-Event Embedding Model","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392425606","doi":"https://doi.org/10.48550/arxiv.2403.00032"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.00032","pdf_url":"https://arxiv.org/pdf/2403.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.00032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018195808","display_name":"Nikolaos Nakis","orcid":"https://orcid.org/0000-0001-9311-3458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nakis, Nikolaos","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086636153","display_name":"Abdulkadir \u00c7elikkanat","orcid":"https://orcid.org/0000-0001-8912-711X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Celikkanat, Abdulkadir","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070569889","display_name":"Louis Boucherie","orcid":"https://orcid.org/0000-0002-4651-1565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boucherie, Louis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015080044","display_name":"Sune Lehmann","orcid":"https://orcid.org/0000-0001-6099-2345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lehmann, Sune","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059840085","display_name":"Morten M\u00f8rup","orcid":"https://orcid.org/0000-0003-4985-4368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M\u00f8rup, Morten","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.978,"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":0.978,"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":[],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6529194},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5843666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5358561},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.4891434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19294193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12215927},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09840554},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.00032","pdf_url":"https://arxiv.org/pdf/2403.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.00032","pdf_url":"https://arxiv.org/pdf/2403.00032","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391913857","https://openalex.org/W2748952813","https://openalex.org/W2478288626","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2081900870","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Understanding":[0],"the":[1,9,51,57,74,84,89,99,132,146,157,168,187,203,213],"structure":[2],"and":[3,38,40,47,83],"dynamics":[4,77],"of":[5,11,19,53,59,78,106,116,136,148,173,198],"scientific":[6,169],"research,":[7],"i.e.,":[8,120],"science":[10,12],"(SciSci),":[13],"has":[14,55,127],"become":[15],"an":[16],"important":[17],"area":[18],"research":[20,42],"in":[21,92,104,134,171,178],"order":[22],"to":[23,31,50,72,87],"address":[24],"imminent":[25],"questions":[26],"including":[27],"how":[28,34,41],"scholars":[29],"interact":[30],"advance":[32],"science,":[33],"disciplines":[35],"are":[36,112],"related":[37],"evolve,":[39],"impact":[43,76,189,226],"can":[44],"be":[45],"quantified":[46],"predicted.":[48],"Central":[49],"study":[52],"SciSci":[54],"been":[56,68],"analysis":[58],"citation":[60,75,90,110,184,209],"networks.":[61,151],"Here,":[62],"two":[63],"prominent":[64,114],"modeling":[65],"methodologies":[66],"have":[67],"employed:":[69],"one":[70],"is":[71,86,190],"assess":[73],"papers":[79,103],"using":[80,192],"parametric":[81,194],"distributions,":[82],"other":[85],"embed":[88],"networks":[91,111,121,210],"a":[93,113,128,141,174],"latent":[94,175,218],"space":[95],"optimal":[96],"for":[97,122,145,183,196],"characterizing":[98],"static":[100,217],"relations":[101],"between":[102],"terms":[105,172],"their":[107],"citations.":[108],"Interestingly,":[109],"example":[115],"single-event":[117,150],"dynamic":[118,199,225],"networks,":[119],"which":[123,179],"each":[124],"dyad":[125],"only":[126],"single":[129],"event":[130],"(i.e.,":[131],"point":[133],"time":[135],"citation).":[137],"We":[138,201],"presently":[139],"propose":[140,156],"novel":[142],"likelihood":[143],"function":[144],"characterization":[147],"such":[149],"Using":[152],"this":[153],"likelihood,":[154],"we":[155],"Dynamic":[158],"Impact":[159],"Single-Event":[160],"Embedding":[161],"model":[162,166,177],"(DISEE).":[163],"The":[164],"\\textsc{\\modelabbrev}":[165],"characterizes":[167],"interactions":[170],"distance":[176,219],"random":[180],"effects":[181],"account":[182],"heterogeneity":[185],"while":[186],"time-varying":[188],"characterized":[191],"existing":[193],"representations":[195],"assessment":[197],"impact.":[200],"highlight":[202],"proposed":[204],"approach":[205],"on":[206],"several":[207],"real":[208],"finding":[211],"that":[212],"DISEE":[214],"well":[215],"reconciles":[216],"network":[220],"embedding":[221],"approaches":[222],"with":[223],"classical":[224],"assessments.":[227]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392425606","counts_by_year":[],"updated_date":"2024-12-11T00:27:42.132758","created_date":"2024-03-05"}