{"id":"https://openalex.org/W2908438957","doi":"https://doi.org/10.1145/3289600.3290961","title":"Spring-Electrical Models For Link Prediction","display_name":"Spring-Electrical Models For Link Prediction","publication_year":2019,"publication_date":"2019-01-30","ids":{"openalex":"https://openalex.org/W2908438957","doi":"https://doi.org/10.1145/3289600.3290961","mag":"2908438957"},"language":"en","primary_location":{"id":"doi:10.1145/3289600.3290961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","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/A5006199749","display_name":"Yana Kashinskaya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152328","display_name":"Yandex School of Data Analysis","ror":"https://ror.org/051kay419","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210152328"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Yana Kashinskaya","raw_affiliation_strings":["Yandex School of Data Analysis, Moscow, Russian Fed"],"affiliations":[{"raw_affiliation_string":"Yandex School of Data Analysis, Moscow, Russian Fed","institution_ids":["https://openalex.org/I4210152328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022976447","display_name":"Egor Samosvat","orcid":"https://orcid.org/0000-0003-3399-4235"},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor Samosvat","raw_affiliation_strings":["Yandex, Moscow, Russian Fed"],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016112738","display_name":"Akmal Artikov","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Akmal Artikov","raw_affiliation_strings":["Yandex, Moscow, Russian Fed"],"affiliations":[{"raw_affiliation_string":"Yandex, Moscow, Russian Fed","institution_ids":["https://openalex.org/I58957048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006199749"],"corresponding_institution_ids":["https://openalex.org/I4210152328"],"apc_list":null,"apc_paid":null,"fwci":0.2896,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51002331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.7517181634902954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944193840026855},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6560064554214478},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6419172883033752},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6003780364990234},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5820273160934448},{"id":"https://openalex.org/keywords/spring","display_name":"Spring (device)","score":0.49932003021240234},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.49402791261672974},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4830961227416992},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.44797977805137634},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.41446205973625183},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3577815890312195},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35069191455841064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3277655839920044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18495503067970276},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15051859617233276},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10610303282737732},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08629241585731506}],"concepts":[{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.7517181634902954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944193840026855},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6560064554214478},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6419172883033752},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6003780364990234},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5820273160934448},{"id":"https://openalex.org/C2778712887","wikidata":"https://www.wikidata.org/wiki/Q102836","display_name":"Spring (device)","level":2,"score":0.49932003021240234},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.49402791261672974},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4830961227416992},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.44797977805137634},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.41446205973625183},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3577815890312195},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35069191455841064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3277655839920044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18495503067970276},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15051859617233276},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10610303282737732},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08629241585731506},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3289600.3290961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3289600.3290961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4487036004","display_name":null,"funder_award_id":"MK-527.2017.1","funder_id":"https://openalex.org/F4320335603","funder_display_name":"Council on grants of the President of the Russian Federation"}],"funders":[{"id":"https://openalex.org/F4320335603","display_name":"Council on grants of the President of the Russian Federation","ror":"https://ror.org/05gxnjj05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W34646664","https://openalex.org/W38619841","https://openalex.org/W131619556","https://openalex.org/W1864134408","https://openalex.org/W1979104937","https://openalex.org/W1980852313","https://openalex.org/W1997136459","https://openalex.org/W2005207065","https://openalex.org/W2008620264","https://openalex.org/W2026034143","https://openalex.org/W2037933327","https://openalex.org/W2047583926","https://openalex.org/W2054141820","https://openalex.org/W2059985735","https://openalex.org/W2068306188","https://openalex.org/W2098502158","https://openalex.org/W2106502572","https://openalex.org/W2110096996","https://openalex.org/W2124021496","https://openalex.org/W2130753955","https://openalex.org/W2153579005","https://openalex.org/W2154454189","https://openalex.org/W2154851992","https://openalex.org/W2157825442","https://openalex.org/W2158535911","https://openalex.org/W2167482691","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W3104097132","https://openalex.org/W3122868618","https://openalex.org/W6601609194"],"related_works":["https://openalex.org/W1559129532","https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W2033213447","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2318206461"],"abstract_inverted_index":{"We":[0,84],"propose":[1],"a":[2,77,80],"link":[3,81],"prediction":[4],"algorithm":[5],"that":[6,22,38,64],"is":[7],"based":[8],"on":[9],"spring-electrical":[10,23],"models.":[11],"The":[12],"idea":[13],"to":[14,50,54,58,100],"study":[15],"these":[16],"models":[17,24],"came":[18],"from":[19],"the":[20,65,71,86],"fact":[21],"have":[25],"been":[26],"successfully":[27],"used":[28],"for":[29],"networks":[30],"visualization.":[31],"A":[32],"good":[33],"network":[34,44,73],"visualization":[35],"usually":[36],"implies":[37],"nodes":[39,69],"similar":[40],"in":[41,70],"terms":[42],"of":[43,79],"topology,":[45],"e.g.,":[46],"connected":[47],"and/or":[48],"belonging":[49],"one":[51],"cluster,":[52],"tend":[53],"be":[55],"visualized":[56],"close":[57],"each":[59],"other.":[60],"Therefore,":[61],"we":[62],"assumed":[63],"Euclidean":[66],"distance":[67],"between":[68,82],"obtained":[72],"layout":[74],"correlates":[75],"with":[76],"probability":[78],"them.":[83],"evaluate":[85],"proposed":[87],"method":[88],"against":[89],"several":[90],"popular":[91],"baselines":[92],"and":[93,103],"demonstrate":[94],"its":[95],"flexibility":[96],"by":[97],"applying":[98],"it":[99],"undirected,":[101],"directed":[102],"bipartite":[104],"networks.":[105]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}