{"id":"https://openalex.org/W7213587632","doi":"https://doi.org/10.64898/2026.09.17.751682","title":"Inferring the latent network of pairwise mutualistic preferences from observed plant\u2013pollinator interactions","display_name":"Inferring the latent network of pairwise mutualistic preferences from observed plant\u2013pollinator interactions","publication_year":2026,"publication_date":"2026-09-18","ids":{"openalex":"https://openalex.org/W7213587632","doi":"https://doi.org/10.64898/2026.09.17.751682"},"language":"en","primary_location":{"id":"doi:10.64898/2026.09.17.751682","doi":"https://doi.org/10.64898/2026.09.17.751682","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.751682","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/18/2026.09.17.751682.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/18/2026.09.17.751682.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075483992","display_name":"Leonardo Federici","orcid":"https://orcid.org/0009-0005-7720-0005","observed_orcids":["https://orcid.org/0009-0005-7720-0005","https://orcid.org/0009-0000-5440-8317"]},"institutions":[{"id":"https://openalex.org/I2800917498","display_name":"Northeastern University London","ror":"https://ror.org/03hdf3w38","country_code":"GB","type":"education","lineage":["https://openalex.org/I12912129","https://openalex.org/I2800917498"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Leonardo Federici","raw_affiliation_strings":["Network Science Institute, Northeastern University London, London E1W 1LP, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0000-5440-8317","affiliations":[{"raw_affiliation_string":"Network Science Institute, Northeastern University London, London E1W 1LP, United Kingdom","institution_ids":["https://openalex.org/I2800917498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056437364","display_name":"Eleni Matechou","orcid":"https://orcid.org/0000-0003-3626-844X","observed_orcids":["https://orcid.org/0000-0003-3626-844X"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Eleni Matechou","raw_affiliation_strings":["School of Mathematical Sciences, Queen Mary University of London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3626-844X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052553537","display_name":"Iacopo Iacopini","orcid":"https://orcid.org/0000-0001-8794-6410","observed_orcids":["https://orcid.org/0000-0001-8794-6410"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I2800917498","display_name":"Northeastern University London","ror":"https://ror.org/03hdf3w38","country_code":"GB","type":"education","lineage":["https://openalex.org/I12912129","https://openalex.org/I2800917498"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Iacopo Iacopini","raw_affiliation_strings":["Department of Physics, Northeastern University, Boston, MA 02115, USA","Network Science Institute, Northeastern University London, London E1W 1LP, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-8794-6410","affiliations":[{"raw_affiliation_string":"Department of Physics, Northeastern University, Boston, MA 02115, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Network Science Institute, Northeastern University London, London E1W 1LP, United Kingdom","institution_ids":["https://openalex.org/I2800917498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052553537"],"corresponding_institution_ids":["https://openalex.org/I12912129","https://openalex.org/I2800917498"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10487","display_name":"Plant and animal studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10487","display_name":"Plant and animal studies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10702","display_name":"Insect and Arachnid Ecology and Behavior","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/plant-pollinator-interactions","display_name":"plant-pollinator interactions","score":0.925000011920929},{"id":"https://openalex.org/keywords/bipartite-graphs","display_name":"bipartite graphs","score":0.8730000257492065},{"id":"https://openalex.org/keywords/bayesian-hierarchical-model","display_name":"Bayesian hierarchical model","score":0.8889999985694885},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.7450000047683716},{"id":"https://openalex.org/keywords/sampling-effort","display_name":"sampling effort","score":0.7699999809265137},{"id":"https://openalex.org/keywords/urban-rural-gradient","display_name":"urban-rural gradient","score":0.8859999775886536},{"id":"https://openalex.org/keywords/network-metrics","display_name":"network metrics","score":0.5770000219345093}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7678999900817871},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44920000433921814},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.4424000084400177},{"id":"https://openalex.org/C2780267512","wikidata":"https://www.wikidata.org/wiki/Q6997828","display_name":"Nestedness","level":3,"score":0.4124000072479248},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C75917345","wikidata":"https://www.wikidata.org/wiki/Q2725298","display_name":"Sampling bias","level":3,"score":0.3912000060081482},{"id":"https://openalex.org/C77077793","wikidata":"https://www.wikidata.org/wiki/Q336019","display_name":"Abundance (ecology)","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3589000105857849},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35100001096725464},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.3375000059604645},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C122325731","wikidata":"https://www.wikidata.org/wiki/Q3738459","display_name":"Relative species abundance","level":3,"score":0.3154999911785126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31040000915527344},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C107394435","wikidata":"https://www.wikidata.org/wiki/Q1300585","display_name":"Quadrat","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C36811481","wikidata":"https://www.wikidata.org/wiki/Q5333246","display_name":"Ecological network","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.09.17.751682","doi":"https://doi.org/10.64898/2026.09.17.751682","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.751682","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/18/2026.09.17.751682.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.09.17.751682","doi":"https://doi.org/10.64898/2026.09.17.751682","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.17.751682","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/09/18/2026.09.17.751682.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[{"score":0.4390000104904175,"display_name":"Life on land","id":"https://metadata.un.org/sdg/15"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213587632.pdf","grobid_xml":"https://content.openalex.org/works/W7213587632.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1992264689","https://openalex.org/W2001155312","https://openalex.org/W2016822132","https://openalex.org/W2122184339","https://openalex.org/W3097857172","https://openalex.org/W7155160456"],"related_works":["https://openalex.org/W1975874549","https://openalex.org/W6892159557","https://openalex.org/W6968052989","https://openalex.org/W7172501010","https://openalex.org/W2788337412","https://openalex.org/W2114411023","https://openalex.org/W2787930781","https://openalex.org/W3018553093","https://openalex.org/W7100173136","https://openalex.org/W3214022206"],"abstract_inverted_index":{"Plant\u2013pollinator":[0],"communities":[1,255],"are":[2,10,21,40,256,329],"typically":[3],"represented":[4],"as":[5,50,70,176,216],"bipartite":[6],"networks,":[7],"whose":[8],"edges":[9],"taken":[11],"directly":[12],"from":[13,225,273,284,297],"field":[14],"records":[15],"of":[16,28,73,120,149,158,246,286,291,313,324],"visits.":[17],"These":[18],"visits,":[19,228],"however,":[20],"only":[22,136],"a":[23,62,71,74,88,187,207,217,279],"proxy":[24],"for":[25,137,141],"the":[26,31,79,83,118,126,138,159,199,219,226,233,247,252,259,266,270,298,302,307,321],"object":[27],"ecological":[29,147,303],"interest:":[30],"latent":[32,143],"mutualistic":[33,103,293],"preference":[34,201,221,267],"between":[35],"two":[36],"species.":[37],"While":[38],"counts":[39,69,181],"shaped":[41],"by":[42],"preference,":[43],"they":[44],"also":[45],"carry":[46],"confounding":[47],"factors":[48],"such":[49,175],"species":[51,97,237],"abundances,":[52],"sampling":[53,94],"effort,":[54],"and":[55,101,113,116,241,243,305,310],"site-":[56],"or":[57,122,182],"time-specific":[58],"conditions.":[59],"We":[60],"introduce":[61],"hierarchical":[63],"Bayesian":[64],"framework":[65,197,277],"that":[66,172],"treats":[67],"visit":[68],"realisation":[72],"Poisson":[75],"process":[76],"and,":[77],"on":[78,265,320,334],"log":[80],"scale,":[81],"decomposes":[82],"corresponding":[84],"pairwise":[85,102],"rate":[86],"into":[87,186],"baseline":[89],"(community-wide":[90],"activity":[91],"together":[92],"with":[93,152,192],"effort),":[95],"individual":[96],"effects":[98],"representing":[99],"abundance,":[100],"preferences.":[104],"The":[105,276],"model":[106],"extends":[107],"to":[108,117,162,251,282,289,301],"data":[109,299],"replicated":[110,184],"across":[111,239],"sites":[112,240],"time":[114],"points,":[115],"inclusion":[119],"environmental":[121],"experimental":[123],"covariates.":[124],"Because":[125,317],"whole":[127],"system":[128],"is":[129],"fitted":[130],"jointly,":[131],"we":[132,170],"obtain":[133],"posterior":[134],"not":[135],"preferences":[139,178],"but":[140],"every":[142,156],"quantity,":[144],"each":[145],"carrying":[146,295],"signal":[148],"its":[150,327],"own,":[151],"uncertainty":[153,296],"propagated":[154],"through":[155,300],"level":[157,214],"model,":[160],"down":[161],"any":[163],"derived":[164],"network":[165,222,263,325],"metric.":[166],"On":[167,203],"synthetic":[168],"data,":[169],"show":[171],"common":[173],"practices,":[174],"reading":[177],"off":[179],"raw":[180,234],"aggregating":[183],"observations":[185],"single":[188],"network,":[189],"confound":[190],"abundance":[191],"preference.":[193],"In":[194],"contrast,":[195],"our":[196],"recovers":[198],"underlying":[200,292],"structure.":[202],"empirical":[204],"datasets,":[205],"including":[206],"seasonal":[208],"multi-site":[209],"pollination":[210],"study":[211],"where":[212],"urbanisation":[213,260],"enters":[215],"covariate,":[218],"inferred":[220],"departs":[223],"markedly":[224],"observed":[227,287],"revealing":[229],"structure":[230,312],"hidden":[231],"in":[232],"counts:":[235],"how":[236],"vary":[238],"time,":[242],"which":[244],"parts":[245],"community":[248],"respond":[249],"most":[250],"covariate.":[253],"When":[254],"compared":[257],"along":[258],"gradient,":[261],"standard":[262],"metrics":[264],"layer":[268],"revise":[269],"conclusions":[271,304],"drawn":[272],"visits":[274,288],"alone.":[275],"offers":[278],"principled":[280],"way":[281],"move":[283],"networks":[285,290],"preferences,":[294],"accommodating":[306],"spatial,":[308],"temporal,":[309],"covariate":[311],"modern":[314],"plant-pollinator":[315],"datasets.":[316],"it":[318],"acts":[319],"foundational":[322],"step":[323],"construction,":[326],"implications":[328],"broad,":[330],"placing":[331],"network-based":[332],"approaches":[333],"firmer":[335],"ground.":[336]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-09-19T00:00:00"}
