{"id":"https://openalex.org/W2952048844","doi":"https://doi.org/10.1007/s41109-019-0140-5","title":"Towards intelligent complex networks: the space and prediction of information walks","display_name":"Towards intelligent complex networks: the space and prediction of information walks","publication_year":2019,"publication_date":"2019-06-13","ids":{"openalex":"https://openalex.org/W2952048844","doi":"https://doi.org/10.1007/s41109-019-0140-5","mag":"2952048844","pmid":"https://pubmed.ncbi.nlm.nih.gov/31259230"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-019-0140-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0140-5","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-019-0140-5","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-019-0140-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091385869","display_name":"Chuankai An","orcid":"https://orcid.org/0000-0002-7594-6250"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuankai An","raw_affiliation_strings":["1Department of Computer Science, Dartmouth College, Hanover, 03755 NH USA","Department of Computer Science, Dartmouth College, Hanover, 03755, NH, USA"],"raw_orcid":"https://orcid.org/0000-0002-7594-6250","affiliations":[{"raw_affiliation_string":"1Department of Computer Science, Dartmouth College, Hanover, 03755 NH USA","institution_ids":["https://openalex.org/I107672454"]},{"raw_affiliation_string":"Department of Computer Science, Dartmouth College, Hanover, 03755, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068655863","display_name":"A. James O\u2019Malley","orcid":"https://orcid.org/0000-0001-8389-6217"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]},{"id":"https://openalex.org/I126688049","display_name":"Dartmouth Institute for Health Policy and Clinical Practice","ror":"https://ror.org/0511yej17","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I126688049"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. James O\u2019Malley","raw_affiliation_strings":["Department of Biomedical Data Science and the Dartmouth Institute of Health Policy and Clinical Practice in the Geisel School of Medicine at Dartmouth College, Lebanon, 03784, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Data Science and the Dartmouth Institute of Health Policy and Clinical Practice in the Geisel School of Medicine at Dartmouth College, Lebanon, 03784, NH, USA","institution_ids":["https://openalex.org/I126688049","https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072455364","display_name":"Daniel N. Rockmore","orcid":"https://orcid.org/0000-0001-5411-9224"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]},{"id":"https://openalex.org/I1308548392","display_name":"Santa Fe Institute","ror":"https://ror.org/01arysc35","country_code":"US","type":"funder","lineage":["https://openalex.org/I1308548392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel N. Rockmore","raw_affiliation_strings":["1Department of Computer Science, Dartmouth College, Hanover, 03755 NH USA","3Department of Mathematics, Dartmouth College, Hanover, 03755 NH USA","4External Faculty, The Santa Fe Institute, Santa Fe, NM, 87501 USA","Department of Computer Science, Dartmouth College, Hanover, 03755, NH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Department of Computer Science, Dartmouth College, Hanover, 03755 NH USA","institution_ids":["https://openalex.org/I107672454"]},{"raw_affiliation_string":"3Department of Mathematics, Dartmouth College, Hanover, 03755 NH USA","institution_ids":["https://openalex.org/I107672454"]},{"raw_affiliation_string":"4External Faculty, The Santa Fe Institute, Santa Fe, NM, 87501 USA","institution_ids":["https://openalex.org/I1308548392"]},{"raw_affiliation_string":"Department of Computer Science, Dartmouth College, Hanover, 03755, NH, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091385869"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.1442,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44851077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":"1","first_page":"35","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9926999807357788,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9922999739646912,"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/random-walk","display_name":"Random walk","score":0.5524760484695435},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5283437967300415},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.4840337634086609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46741175651550293},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39921796321868896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38652846217155457},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.3446471691131592},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3369363248348236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2288801670074463},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17076468467712402},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16325709223747253},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13981884717941284}],"concepts":[{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5524760484695435},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5283437967300415},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.4840337634086609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46741175651550293},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39921796321868896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38652846217155457},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.3446471691131592},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3369363248348236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2288801670074463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17076468467712402},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16325709223747253},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13981884717941284},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s41109-019-0140-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0140-5","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-019-0140-5","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmid:31259230","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31259230","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":"Applied network science","raw_type":null},{"id":"pmh:oai:doaj.org/article:feed8745628143859e2cdcdfcea7f5a8","is_oa":true,"landing_page_url":"https://doaj.org/article/feed8745628143859e2cdcdfcea7f5a8","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":"Applied Network Science, Vol 4, Iss 1, Pp 1-21 (2019)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:6565809","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6565809","pdf_url":null,"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":"Appl Netw Sci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s41109-019-0140-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-019-0140-5","pdf_url":"https://appliednetsci.springeropen.com/counter/pdf/10.1007/s41109-019-0140-5","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G303205732","display_name":null,"funder_award_id":"P01 AG019783","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4204649970","display_name":null,"funder_award_id":"U01 AG046830","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5618509505","display_name":null,"funder_award_id":"P01 AG019783","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G6028407591","display_name":null,"funder_award_id":"U01 AG046830","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320310400","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952048844.pdf","grobid_xml":"https://content.openalex.org/works/W2952048844.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W102279446","https://openalex.org/W1944367023","https://openalex.org/W2017099446","https://openalex.org/W2026493302","https://openalex.org/W2037933327","https://openalex.org/W2060887176","https://openalex.org/W2064675550","https://openalex.org/W2081323872","https://openalex.org/W2089691915","https://openalex.org/W2093168265","https://openalex.org/W2095016473","https://openalex.org/W2117897510","https://openalex.org/W2118882002","https://openalex.org/W2123697484","https://openalex.org/W2137130182","https://openalex.org/W2140310134","https://openalex.org/W2154454189","https://openalex.org/W2163557584","https://openalex.org/W2164900957","https://openalex.org/W2171279286","https://openalex.org/W2284851926","https://openalex.org/W2295739661","https://openalex.org/W2395439732","https://openalex.org/W2564084673","https://openalex.org/W2596585349","https://openalex.org/W2613228905","https://openalex.org/W2734755249","https://openalex.org/W2745750801","https://openalex.org/W2809409545","https://openalex.org/W2885268065","https://openalex.org/W2892821876","https://openalex.org/W2903502609","https://openalex.org/W2906694449","https://openalex.org/W2913754224","https://openalex.org/W2949064044","https://openalex.org/W2952347589","https://openalex.org/W2963105564","https://openalex.org/W2963395938","https://openalex.org/W3139579388","https://openalex.org/W4232932184","https://openalex.org/W4244777963","https://openalex.org/W4244924737","https://openalex.org/W4300528607","https://openalex.org/W6607716920"],"related_works":["https://openalex.org/W1597743604","https://openalex.org/W2038723108","https://openalex.org/W2033630974","https://openalex.org/W2325737604","https://openalex.org/W4245069437","https://openalex.org/W2042537860","https://openalex.org/W4297449606","https://openalex.org/W4390692226","https://openalex.org/W1984231369","https://openalex.org/W2044512040"],"abstract_inverted_index":{"In":[0,120],"this":[1,121,141],"paper":[2],"we":[3,145,282],"study":[4],"the":[5,20,38,55,62,66,85,105,123,138,155,178,204,211,221,230,236,267,273,292,302,319,322,328],"problem":[6,171],"of":[7,23,40,51,57,76,87,98,118,132,161,189,197,206,223,240,275,279,285,313,321,331],"walk-specific":[8],"information":[9,24,59,77,232,242,253,257,280,286,295,308,324,332],"spread":[10,22],"in":[11,115,143,210,247,264],"directed":[12],"complex":[13],"social":[14,26],"networks.":[15],"Classical":[16],"models":[17],"usually":[18],"analyze":[19],"\u201cexplosive\u201d":[21],"on":[25,37,65,158,186,334],"networks":[27],"(e.g.,":[28],"Twitter)":[29],"\u2013":[30],"a":[31,41,71,91,95,107,113,116,130,147,159,162,187,245,249,277,315],"broadcast":[32],"or":[33,100],"epidemiological":[34],"model":[35,152],"focusing":[36],"dynamics":[39],"given":[42,92,163],"source":[43,131],"node":[44,157,250],"\u201cinfecting\u201d":[45],"multiple":[46],"targets.":[47],"Less":[48],"studied,":[49],"but":[50,175],"equal":[52],"importance":[53],"is":[54,64,84,104,129,172],"case":[56,122],"single-track":[58],"flow,":[60],"wherein":[61],"focus":[63],"node-by-node":[67],"(and":[68,125],"not":[69],"necessarily":[70],"newly":[72],"visited":[73,89],"node)":[74],"trajectory":[75],"transfer.":[78],"An":[79],"important":[80],"and":[81,216,255,288],"motivating":[82],"example":[83],"sequence":[86,109],"physicians":[88],"by":[90],"patient":[93,124,199],"over":[94],"presumed":[96],"course":[97],"treatment":[99],"health":[101,127],"event.":[102],"This":[103],"so-called":[106],"referral":[108,200],"which":[110,248],"manifests":[111],"as":[112],"path":[114],"network":[117,164,167,207,238,278,326],"physicians.":[119],"her":[126],"record)":[128],"\u201cinformation\"":[133],"from":[134,177,194,266],"one":[135],"physician":[136],"to":[137,153,174,234],"next.":[139],"With":[140],"motivation":[142],"mind":[144],"build":[146],"Bayesian":[148],"Personalized":[149],"Ranking":[150],"(BPR)":[151],"predict":[154],"next":[156],"walk":[160,233,254,325],"navigator":[165],"using":[166,297],"science":[168,208],"features.":[169],"The":[170,310],"related":[173],"different":[176],"well-investigated":[179],"link":[180],"prediction":[181],"problem.":[182],"We":[183,226],"present":[184],"experiments":[185],"dataset":[188],"several":[190,195],"million":[191],"nodes":[192,263],"derived":[193,237,303,323],"years":[196],"U.S.":[198],"records,":[201],"showing":[202],"that":[203],"application":[205,317],"measures":[209],"BPR":[212],"framework":[213],"boosts":[214],"hit-rate":[215],"mean":[217],"percentile":[218],"rank":[219],"for":[220,301,327],"task":[222],"next-node":[224],"prediction.":[225],"then":[227],"move":[228],"beyond":[229],"simple":[231],"consider":[235],"space":[239],"all":[241],"walks":[243,258,287],"within":[244],"period,":[246],"represents":[251],"an":[252,335],"two":[256,307],"are":[259],"connected":[260],"if":[261],"have":[262],"common":[265],"original":[268],"(social)":[269],"network.":[270,337],"To":[271],"evaluate":[272],"utility":[274,320],"such":[276,314],"walks,":[281,296],"simulate":[283],"outliers":[284],"distinguish":[289],"them":[290],"with":[291],"other":[293],"normal":[294],"five":[298],"distance":[299],"metrics":[300],"feature":[304],"vectors":[305],"between":[306],"walks.":[309],"experimental":[311],"results":[312],"proof-of-concept":[316],"shows":[318],"outlier":[329],"monitoring":[330],"flow":[333],"intelligent":[336]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}