{"id":"https://openalex.org/W2953956054","doi":"https://doi.org/10.1145/3341161.3342914","title":"Generalized random Surfer-Pair models","display_name":"Generalized random Surfer-Pair models","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W2953956054","doi":"https://doi.org/10.1145/3341161.3342914","mag":"2953956054"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3342914","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3342914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.01420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003531741","display_name":"Sai Kiran Narayanaswami","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]},{"id":"https://openalex.org/I4210151956","display_name":"Robert Bosch (India)","ror":"https://ror.org/04my8ty22","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210151956","https://openalex.org/I889804353"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sai Kiran Narayanaswami","raw_affiliation_strings":["Indian Institute of Technology Madras, Chennai, India","Robert Bosch Centre for Data Science and AI, Indian Institute of Technology Madras,Chennai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Robert Bosch Centre for Data Science and AI, Indian Institute of Technology Madras,Chennai,India","institution_ids":["https://openalex.org/I4210151956","https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009374923","display_name":"Balaraman Ravindran","orcid":"https://orcid.org/0000-0002-5364-7639"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balaraman Ravindran","raw_affiliation_strings":["Indian Institute of Technology Madras, Chennai, India","Indian Institute of Technology  Madras"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Indian Institute of Technology  Madras","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038728729","display_name":"Venkatesh Ramaiyan","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatesh Ramaiyan","raw_affiliation_strings":["Indian Institute of Technology Madras, Chennai, India","Indian Institute of Technology  Madras"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Indian Institute of Technology  Madras","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003531741"],"corresponding_institution_ids":["https://openalex.org/I24676775","https://openalex.org/I4210151956"],"apc_list":null,"apc_paid":null,"fwci":0.15635395,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44200838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9882000088691711,"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/T12149","display_name":"Nanocluster Synthesis and Applications","score":0.9071000218391418,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7604731321334839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515335083007812},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6041318774223328},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5604147911071777},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5578323602676392},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5053997039794922},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.48612403869628906},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.47667956352233887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3964133560657501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3932655453681946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36051851511001587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16691845655441284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08655750751495361}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7604731321334839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515335083007812},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6041318774223328},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5604147911071777},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5578323602676392},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5053997039794922},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.48612403869628906},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47667956352233887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3964133560657501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3932655453681946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36051851511001587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16691845655441284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08655750751495361},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3341161.3342914","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3342914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.01420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.01420","pdf_url":"https://arxiv.org/pdf/1907.01420","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2953956054","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.01420v2","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.01420","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.01420","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.01420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.01420","pdf_url":"https://arxiv.org/pdf/1907.01420","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322211","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953956054.pdf","grobid_xml":"https://content.openalex.org/works/W2953956054.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1545879303","https://openalex.org/W1970859146","https://openalex.org/W1995973731","https://openalex.org/W2005207065","https://openalex.org/W2022322548","https://openalex.org/W2039797165","https://openalex.org/W2117831564","https://openalex.org/W2152407760","https://openalex.org/W2153959628","https://openalex.org/W2162630660","https://openalex.org/W2168190036","https://openalex.org/W2170344111","https://openalex.org/W2484190184","https://openalex.org/W2953956054","https://openalex.org/W2963805586","https://openalex.org/W4213009331"],"related_works":["https://openalex.org/W2785311756","https://openalex.org/W3028551657","https://openalex.org/W3100708443","https://openalex.org/W2985610094","https://openalex.org/W2623297591","https://openalex.org/W3087275029","https://openalex.org/W2293124526","https://openalex.org/W1936181686","https://openalex.org/W2983987699","https://openalex.org/W3105863834","https://openalex.org/W3206857917","https://openalex.org/W2185438906","https://openalex.org/W2977956512","https://openalex.org/W2963694998","https://openalex.org/W1484470471","https://openalex.org/W2621208200","https://openalex.org/W2921513060","https://openalex.org/W339243971","https://openalex.org/W2134990212","https://openalex.org/W3168762394"],"abstract_inverted_index":{"SimRank":[0,49,68],"is":[1,9,40],"a":[2,79,108,127,146,167],"widely":[3],"studied":[4],"link-based":[5,88],"similarity":[6,89],"measure":[7,148],"that":[8,17,61,163],"known":[10,50,64],"for":[11,48,86,103,130],"its":[12],"simple,":[13],"yet":[14],"powerful":[15],"philosophy":[16,31],"two":[18,154],"nodes":[19],"are":[20,24],"similar":[21,27],"if":[22],"they":[23],"referenced":[25],"by":[26,149],"nodes.":[28],"While":[29],"this":[30,57,142,158],"has":[32],"been":[33],"the":[34,52,121,151],"basis":[35],"of":[36,141,153],"several":[37,87,114],"improvements,":[38],"there":[39],"another":[41],"useful,":[42],"albeit":[43],"less":[44],"frequently":[45],"discussed":[46],"interpretation":[47],"as":[51,126],"Random":[53,74],"Surfer-Pair":[54,75],"Model.":[55],"In":[56],"work,":[58],"we":[59,118,144],"show":[60],"other":[62],"well":[63],"measures":[65,106,132,156],"related":[66],"to":[67,94,134],"can":[69,123],"also":[70,92],"be":[71,124],"reinterpreted":[72],"using":[73,104],"Models,":[76],"and":[77,83,101,160],"establish":[78],"mathematically":[80],"sound,":[81],"general":[82],"unifying":[84],"framework":[85,122],"measures.":[90],"This":[91],"serves":[93],"provide":[95],"new":[96,147],"insights":[97],"into":[98],"their":[99],"functioning":[100],"allows":[102],"these":[105],"in":[107,166],"Monte":[109],"Carlo":[110],"framework,":[111,159],"which":[112],"provides":[113],"computational":[115],"benefits.":[116],"Next,":[117],"describe":[119],"how":[120],"used":[125],"versatile":[128],"tool":[129],"developing":[131],"according":[133],"given":[135],"design":[136],"requirements.":[137],"As":[138],"an":[139],"illustration":[140],"utility,":[143],"develop":[145],"combining":[150],"benefits":[152],"existing":[155],"under":[157],"empirically":[161],"demonstrate":[162],"it":[164],"results":[165],"better":[168],"performing":[169],"measure.":[170]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}