{"id":"https://openalex.org/W4310614804","doi":"https://doi.org/10.23919/cnsm55787.2022.9964866","title":"Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies","display_name":"Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4310614804","doi":"https://doi.org/10.23919/cnsm55787.2022.9964866"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm55787.2022.9964866","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm55787.2022.9964866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th International Conference on Network and Service Management (CNSM)","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/A5022802732","display_name":"Katharina Dietz","orcid":"https://orcid.org/0009-0000-1658-4539"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Katharina Dietz","raw_affiliation_strings":["University of W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"University of W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010332473","display_name":"Michael Seufert","orcid":"https://orcid.org/0000-0002-5036-5206"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Seufert","raw_affiliation_strings":["University of W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"University of W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025794971","display_name":"Tobias Ho\u00dffeld","orcid":"https://orcid.org/0000-0003-0173-595X"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Ho\u00dffeld","raw_affiliation_strings":["University of W&#x00FC;rzburg,Germany"],"affiliations":[{"raw_affiliation_string":"University of W&#x00FC;rzburg,Germany","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022802732"],"corresponding_institution_ids":["https://openalex.org/I25974101"],"apc_list":null,"apc_paid":null,"fwci":0.4142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63338932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9958000183105469,"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":0.992900013923645,"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/network-topology","display_name":"Network topology","score":0.8793493509292603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7808419466018677},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5404495000839233},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.49458548426628113},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48590555787086487},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4426882565021515},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36167648434638977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35469257831573486},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33585166931152344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3349848985671997},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2814393639564514},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22549939155578613}],"concepts":[{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.8793493509292603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808419466018677},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5404495000839233},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.49458548426628113},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48590555787086487},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4426882565021515},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36167648434638977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35469257831573486},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33585166931152344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3349848985671997},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2814393639564514},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22549939155578613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/cnsm55787.2022.9964866","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm55787.2022.9964866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:107187","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/107187","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:conferenceobject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2000159446","https://openalex.org/W2008620264","https://openalex.org/W2112090702","https://openalex.org/W2118404561","https://openalex.org/W2132022337","https://openalex.org/W2293179363","https://openalex.org/W2471026878","https://openalex.org/W2577946330","https://openalex.org/W2762851443","https://openalex.org/W2792402990","https://openalex.org/W2805019413","https://openalex.org/W2806351858","https://openalex.org/W2918272193","https://openalex.org/W2931671159","https://openalex.org/W2948082843","https://openalex.org/W2954996726","https://openalex.org/W2963241486","https://openalex.org/W2964146889","https://openalex.org/W2968533953","https://openalex.org/W2998722865","https://openalex.org/W3009317493","https://openalex.org/W3035463205","https://openalex.org/W3096831136","https://openalex.org/W3110029223","https://openalex.org/W3142570770","https://openalex.org/W3179883358","https://openalex.org/W3191174665","https://openalex.org/W3192272693","https://openalex.org/W4281779524","https://openalex.org/W4283746632","https://openalex.org/W4297951436","https://openalex.org/W6679191575","https://openalex.org/W6732248266","https://openalex.org/W6749578362","https://openalex.org/W6763182664","https://openalex.org/W6798801305"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2785612136","https://openalex.org/W2099529706","https://openalex.org/W1988224651","https://openalex.org/W2560916850","https://openalex.org/W2945050830"],"abstract_inverted_index":{"Wide":[0],"Area":[1],"Network":[2],"(WAN)":[3],"research":[4],"benefits":[5],"from":[6],"the":[7,22,70,77,85,131,156,164,174,177,183],"availability":[8],"of":[9,24,72,79,87,89,100,166,176],"realistic":[10,63,141],"network":[11],"topologies,":[12,37],"e.g.,":[13],"as":[14,42,109,111,115],"input":[15],"to":[16,58],"simulations,":[17],"emulators,":[18],"or":[19],"testbeds.":[20],"With":[21],"rise":[23],"Machine":[25],"Learning":[26,31],"(ML)":[27],"and":[28,103,125,168,172],"particularly":[29],"Deep":[30],"(DL)":[32],"methods,":[33],"this":[34,121],"demand":[35],"for":[36,69,130,136,179],"which":[38,154],"can":[39],"be":[40],"used":[41],"training":[43],"data,":[44],"is":[45,56],"greater":[46],"than":[47],"ever.":[48],"However,":[49],"public":[50],"datasets":[51],"are":[52],"limited,":[53],"thus,":[54],"it":[55],"promising":[57],"generate":[59],"synthetic":[60,80,138,167],"graphs":[61,81],"with":[62,140],"properties":[64],"based":[65],"on":[66],"real":[67,169],"topologies":[68,171],"augmentation":[71,181],"existing":[73,128],"data":[74,180],"sets.":[75],"As":[76],"generation":[78],"has":[82],"been":[83],"in":[84,182],"focus":[86],"researchers":[88],"various":[90],"applications":[91],"fields":[92],"since":[93],"several":[94],"decades,":[95],"we":[96,123,147,162],"have":[97],"a":[98,149],"variety":[99],"traditional":[101],"model-dependent":[102],"model-independent":[104],"graph":[105,151],"generators":[106,129,178],"at":[107],"hand,":[108],"well":[110],"DL-based":[112],"approaches,":[113],"such":[114],"Generative":[116],"Adversarial":[117],"Networks":[118],"(GANs).":[119],"In":[120],"work,":[122],"adapt":[124],"evaluate":[126],"these":[127],"WAN":[132,170,184],"use":[133,185],"case,":[134],"i.e.,":[135],"generating":[137],"WANs":[139],"geographical":[142],"distances":[143],"between":[144],"nodes.":[145],"Moreover,":[146],"investigate":[148],"hierarchical":[150],"synthesis":[152,157],"approach,":[153],"divides":[155],"into":[158],"local":[159],"clusters.":[160],"Finally,":[161],"compare":[163],"similarity":[165],"discuss":[173],"suitability":[175],"case.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
