{"id":"https://openalex.org/W4385357749","doi":"https://doi.org/10.3390/e25081115","title":"Centrality Learning: Auralization and Route Fitting","display_name":"Centrality Learning: Auralization and Route Fitting","publication_year":2023,"publication_date":"2023-07-26","ids":{"openalex":"https://openalex.org/W4385357749","doi":"https://doi.org/10.3390/e25081115","pmid":"https://pubmed.ncbi.nlm.nih.gov/37628146"},"language":"en","primary_location":{"id":"doi:10.3390/e25081115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081115","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1115/pdf?version=1690361493","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/8/1115/pdf?version=1690361493","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101463701","display_name":"Xin Li","orcid":"https://orcid.org/0009-0001-3542-3703"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Department of Mechatronics Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel"],"raw_orcid":"https://orcid.org/0009-0001-3542-3703","affiliations":[{"raw_affiliation_string":"Department of Mechatronics Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050701433","display_name":"Liav Bachar","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Liav Bachar","raw_affiliation_strings":["Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059447087","display_name":"Rami Puzis","orcid":"https://orcid.org/0000-0002-7229-3899"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Rami Puzis","raw_affiliation_strings":["Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel"],"raw_orcid":"https://orcid.org/0000-0002-7229-3899","affiliations":[{"raw_affiliation_string":"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059447087"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07825837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"8","first_page":"1115","last_page":"1115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983999729156494,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9896000027656555,"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/betweenness-centrality","display_name":"Betweenness centrality","score":0.9587056636810303},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.9564988017082214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648062527179718},{"id":"https://openalex.org/keywords/network-theory","display_name":"Network theory","score":0.5764921307563782},{"id":"https://openalex.org/keywords/network-science","display_name":"Network science","score":0.5524628162384033},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.547804057598114},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4911632239818573},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.47903743386268616},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47141382098197937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4585743546485901},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.38048872351646423},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.37165650725364685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34309452772140503},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.24474164843559265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21582329273223877},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1080581545829773},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10171282291412354}],"concepts":[{"id":"https://openalex.org/C117045392","wikidata":"https://www.wikidata.org/wiki/Q4899215","display_name":"Betweenness centrality","level":3,"score":0.9587056636810303},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.9564988017082214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648062527179718},{"id":"https://openalex.org/C11804174","wikidata":"https://www.wikidata.org/wiki/Q1192971","display_name":"Network theory","level":2,"score":0.5764921307563782},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.5524628162384033},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.547804057598114},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4911632239818573},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.47903743386268616},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47141382098197937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4585743546485901},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.38048872351646423},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.37165650725364685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34309452772140503},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.24474164843559265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21582329273223877},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1080581545829773},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10171282291412354},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25081115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081115","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1115/pdf?version=1690361493","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37628146","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37628146","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10453733","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10453733","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10453733/pdf/entropy-25-01115.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8e6c932d5b6041aa9cdfe3638b4f8ebb","is_oa":true,"landing_page_url":"https://doaj.org/article/8e6c932d5b6041aa9cdfe3638b4f8ebb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 8, p 1115 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/8/1115/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25081115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 8; Pages: 1115","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25081115","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25081115","pdf_url":"https://www.mdpi.com/1099-4300/25/8/1115/pdf?version=1690361493","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323051","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982"},{"id":"https://openalex.org/F4320323278","display_name":"Council for Higher Education","ror":"https://ror.org/036mqp197"},{"id":"https://openalex.org/F4320337393","display_name":"Division of Chemistry","ror":"https://ror.org/01ar8dr59"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385357749.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W135489932","https://openalex.org/W630423399","https://openalex.org/W1671906456","https://openalex.org/W1966469677","https://openalex.org/W1971937094","https://openalex.org/W1972568032","https://openalex.org/W2003408562","https://openalex.org/W2006227521","https://openalex.org/W2008620264","https://openalex.org/W2019029270","https://openalex.org/W2026613779","https://openalex.org/W2047576351","https://openalex.org/W2056944867","https://openalex.org/W2063282514","https://openalex.org/W2066459332","https://openalex.org/W2086178277","https://openalex.org/W2112090702","https://openalex.org/W2132914434","https://openalex.org/W2171590707","https://openalex.org/W2171707538","https://openalex.org/W2266724080","https://openalex.org/W2299115575","https://openalex.org/W2488359031","https://openalex.org/W2529337537","https://openalex.org/W2804381853","https://openalex.org/W2897513444","https://openalex.org/W2949559065","https://openalex.org/W2963662649","https://openalex.org/W2963729134","https://openalex.org/W2987360131","https://openalex.org/W2990774081","https://openalex.org/W3003358410","https://openalex.org/W3007142233","https://openalex.org/W3014362800","https://openalex.org/W3040437829","https://openalex.org/W3101413764","https://openalex.org/W3105268966","https://openalex.org/W3106039696","https://openalex.org/W3108823960","https://openalex.org/W3156576211","https://openalex.org/W3157591766","https://openalex.org/W3161944108","https://openalex.org/W4241669766","https://openalex.org/W4250904355","https://openalex.org/W4312258136","https://openalex.org/W4319988471","https://openalex.org/W6632945411","https://openalex.org/W6641590278","https://openalex.org/W6774365965","https://openalex.org/W6784041521","https://openalex.org/W6793127252","https://openalex.org/W6846682867","https://openalex.org/W6910749598"],"related_works":["https://openalex.org/W992689895","https://openalex.org/W1848393892","https://openalex.org/W2887047168","https://openalex.org/W2887722523","https://openalex.org/W4289703817","https://openalex.org/W3091277326","https://openalex.org/W1159540256","https://openalex.org/W2481254286","https://openalex.org/W4319842619","https://openalex.org/W2938968308"],"abstract_inverted_index":{"Developing":[0],"a":[1,6,38,80],"tailor-made":[2],"centrality":[3,24,43,52,116,133],"measure":[4],"for":[5,26,42],"given":[7],"task":[8],"requires":[9],"domain-":[10],"and":[11,18,89,99],"network-analysis":[12],"expertise,":[13],"as":[14,16],"well":[15],"time":[17],"effort.":[19],"Thus,":[20],"automatically":[21],"learning":[22,44],"arbitrary":[23,115],"measures":[25,53,117],"providing":[27],"ground-truth":[28],"node":[29],"scores":[30],"is":[31],"an":[32],"important":[33],"research":[34],"direction.":[35],"We":[36],"propose":[37],"generic":[39],"deep-learning":[40],"architecture":[41,127],"which":[45],"relies":[46],"on":[47,96,118],"two":[48],"insights:":[49],"1.":[50],"Arbitrary":[51],"can":[54,128],"be":[55],"computed":[56],"using":[57],"Routing":[58,105],"Betweenness":[59,106],"Centrality":[60,107],"(RBC);":[61],"2.":[62],"As":[63],"suggested":[64],"by":[65,72,79],"spectral":[66],"graph":[67,81,88],"theory,":[68],"the":[69,75,84,87,90,93,125,138,141],"sound":[70],"emitted":[71],"nodes":[73],"within":[74],"resonating":[76],"chamber":[77],"formed":[78],"represents":[82],"both":[83],"structure":[85],"of":[86,92,104,132,140],"location":[91],"nodes.":[94],"Based":[95],"these":[97],"insights":[98],"our":[100],"new":[101],"differentiable":[102],"implementation":[103],"(RBC),":[108],"we":[109],"learn":[110,129],"routing":[111],"policies":[112],"that":[113,124],"approximate":[114],"various":[119],"network":[120],"topologies.":[121],"Results":[122],"show":[123],"proposed":[126],"multiple":[130],"types":[131],"indices":[134],"more":[135],"accurately":[136],"than":[137],"state":[139],"art.":[142]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
