{"id":"https://openalex.org/W7161957221","doi":"https://doi.org/10.48550/arxiv.2605.21220","title":"ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge","display_name":"ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7161957221","doi":"https://doi.org/10.48550/arxiv.2605.21220"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.21220","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21220","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.21220","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136663891","display_name":"Mingyu Kang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Mingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136510666","display_name":"Jianxi Gao","orcid":"https://orcid.org/0000-0002-3952-208X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Jianxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136622307","display_name":"Wenwu Yu","orcid":"https://orcid.org/0000-0003-3755-179X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Wenwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034477653","display_name":"Linyuan Lv","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Linyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.2522999942302704,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.2522999942302704,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.18240000307559967,"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":0.10849999636411667,"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/identifiability","display_name":"Identifiability","score":0.680400013923645},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.675000011920929},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5115000009536743},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4499000012874603},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41990000009536743},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.40290001034736633},{"id":"https://openalex.org/keywords/network-dynamics","display_name":"Network dynamics","score":0.4023999869823456},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.36480000615119934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567999958992004},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.680400013923645},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.675000011920929},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5051000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4677000045776367},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41990000009536743},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39100000262260437},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.34689998626708984},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29510000348091125},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.21220","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21220","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.21220","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.21220","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6184191107749939,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Identifying":[0],"network":[1,36,41,103,143],"dynamics":[2],"is":[3,70,147],"a":[4],"critical":[5],"yet":[6],"challenging":[7],"task":[8],"to":[9,10,37,54,73,77,93,109,119],"understand":[11],"the":[12,27,40,67,96,111,120,127],"mechanism":[13],"of":[14,22,29,62,88,130,142],"real-world":[15],"social":[16],"systems.":[17],"There":[18],"are":[19,107],"two":[20],"types":[21],"algorithms,":[23],"and":[24,34,66,101,114],"one":[25,44],"requires":[26],"knowledge":[28],"self-dynamics":[30,97],"function,":[31,33,98],"interactive":[32,35,99,102,131],"sparsely":[38,94],"identify":[39,95],"dynamics.":[42,144],"Another":[43],"does":[45],"not":[46],"require":[47],"any":[48],"knowledge,":[49],"but":[50],"use":[51],"simple":[52],"functions":[53],"universally":[55],"approximate":[56],"complex":[57],"functions.":[58],"However,":[59],"this":[60,79,81],"type":[61],"algorithms":[63],"lack":[64],"interpretability,":[65],"functional":[68],"space":[69],"too":[71],"extensive":[72],"search":[74],"efficiently.":[75],"Thus,":[76],"address":[78],"issue,":[80],"work":[82],"proposes":[83],"an":[84],"Alternating":[85],"Sparse":[86],"Identification":[87],"Network":[89],"Dynamics":[90],"(ASIND)":[91],"algorithm":[92],"function":[100],"alternatively.":[104],"Extensive":[105],"experiments":[106],"conducted":[108],"show":[110,126],"state-of-the-art":[112],"identification":[113],"100-steps":[115],"prediction":[116],"performance":[117],"compared":[118],"baseline.":[121],"The":[122,145],"experimental":[123],"results":[124],"also":[125],"weak":[128],"identifiability":[129],"network,":[132],"that":[133],"means":[134],"different":[135],"networks":[136],"can":[137],"generate":[138],"highly":[139],"similar":[140],"trajectories":[141],"code":[146],"available":[148],"at":[149],"https://github.com/KMY-SEU/ASIND.":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-22T00:00:00"}