{"id":"https://openalex.org/W4415187708","doi":"https://doi.org/10.54254/2753-8818/2026.hz27624","title":"Social Networks Count Data: Negative Binomial Distributions and Extensions Versus Poisson and Bernoulli Models","display_name":"Social Networks Count Data: Negative Binomial Distributions and Extensions Versus Poisson and Bernoulli Models","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4415187708","doi":"https://doi.org/10.54254/2753-8818/2026.hz27624"},"language":"en","primary_location":{"id":"doi:10.54254/2753-8818/2026.hz27624","doi":"https://doi.org/10.54254/2753-8818/2026.hz27624","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2753-8818/2026.hz27624","pdf_url":"https://www.ewadirect.com/proceedings/tns/article/view/27624/pdf","source":{"id":"https://openalex.org/S4387283303","display_name":"Theoretical and Natural Science","issn_l":"2753-8818","issn":["2753-8818","2753-8826"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Natural Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.ewadirect.com/proceedings/tns/article/view/27624/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhanyu Wan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhanyu Wan","raw_affiliation_strings":["Wuhan Britain-China School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Britain-China School","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14774381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"143","issue":"1","first_page":"115","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.5512999892234802,"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":0.5512999892234802,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.14980000257492065,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.06840000301599503,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-network-models","display_name":"social network models","score":0.7239999771118164},{"id":"https://openalex.org/keywords/count-data","display_name":"count data","score":0.640999972820282},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"negative binomial distribution","score":0.9929999709129333},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.8949999809265137},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.9509999752044678},{"id":"https://openalex.org/keywords/zero-inflated-models","display_name":"zero-inflated models","score":0.8859999775886536},{"id":"https://openalex.org/keywords/overdispersion","display_name":"overdispersion","score":0.9789999723434448},{"id":"https://openalex.org/keywords/zero-inflation","display_name":"excess zeros","score":0.5680000185966492},{"id":"https://openalex.org/keywords/model-selection","display_name":"model selection","score":0.921999990940094},{"id":"https://openalex.org/keywords/static-networks","display_name":"static networks","score":0.5249999761581421},{"id":"https://openalex.org/keywords/dynamic-networks","display_name":"dynamic networks","score":0.8090000152587891}],"concepts":[{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.6980999708175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943999886512756},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5138999819755554},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.5117999911308289},{"id":"https://openalex.org/C41054675","wikidata":"https://www.wikidata.org/wiki/Q185547","display_name":"Binomial distribution","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42100000381469727},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3961000144481659},{"id":"https://openalex.org/C117236510","wikidata":"https://www.wikidata.org/wiki/Q7113620","display_name":"Overdispersion","level":4,"score":0.37929999828338623},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.36480000615119934},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.3571999967098236},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C67417131","wikidata":"https://www.wikidata.org/wiki/Q3258231","display_name":"Poisson binomial distribution","level":5,"score":0.34049999713897705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3292999863624573},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32850000262260437},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C23990920","wikidata":"https://www.wikidata.org/wiki/Q518831","display_name":"Bernoulli process","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30059999227523804},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C179133015","wikidata":"https://www.wikidata.org/wiki/Q1639378","display_name":"Social system","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C46802686","wikidata":"https://www.wikidata.org/wiki/Q1077800","display_name":"Bernoulli trial","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C165480597","wikidata":"https://www.wikidata.org/wiki/Q307557","display_name":"Beta-binomial distribution","level":4,"score":0.27900001406669617},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2655999958515167},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.2556999921798706},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C25516864","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnectivity","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54254/2753-8818/2026.hz27624","doi":"https://doi.org/10.54254/2753-8818/2026.hz27624","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2753-8818/2026.hz27624","pdf_url":"https://www.ewadirect.com/proceedings/tns/article/view/27624/pdf","source":{"id":"https://openalex.org/S4387283303","display_name":"Theoretical and Natural Science","issn_l":"2753-8818","issn":["2753-8818","2753-8826"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Natural Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54254/2753-8818/2026.hz27624","doi":"https://doi.org/10.54254/2753-8818/2026.hz27624","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2753-8818/2026.hz27624","pdf_url":"https://www.ewadirect.com/proceedings/tns/article/view/27624/pdf","source":{"id":"https://openalex.org/S4387283303","display_name":"Theoretical and Natural Science","issn_l":"2753-8818","issn":["2753-8818","2753-8826"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Theoretical and Natural Science","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415187708.pdf","grobid_xml":"https://content.openalex.org/works/W4415187708.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,4,7,18,29,40,60,71,114,130,141,150,158,188,210],"development":[2],"of":[3,9,39,42,63,75,132,143,152,190,200,212],"modern":[5,26,30],"Internet,":[6],"use":[8],"social":[10,21,43,77,95,126,133,172,193],"networks":[11,134,194,218],"has":[12,16],"increased":[13],"significantly,":[14],"which":[15,89,94,157],"promoted":[17],"research":[19],"on":[20,198,208],"network":[22,44,78,96],"analysis":[23,38,97,110,189],"models":[24,79,154,199,215],"in":[25,108,216],"times.":[27],"However,":[28,128],"academic":[31],"community":[32],"lacks":[33,187],"a":[34,55,177],"systematic":[35,178],"integration":[36],"and":[37,51,73,84,86,101,111,117,146,164,170,195,219,222],"selection":[41,180],"models,":[45],"making":[46],"it":[47,186],"difficult":[48],"for":[49,93,122,182],"researchers":[50,205],"practitioners":[52],"to":[53,59,69],"choose":[54],"suitable":[56,92,121],"model":[57,90,163,166,179],"according":[58],"actual":[61],"situation":[62],"their":[64,220],"research.":[65],"This":[66,104,174],"study":[67,175],"aims":[68],"explain":[70],"advantages":[72,221],"disadvantages":[74],"four":[76],"(Bernoulli,":[80],"Poisson,":[81],"negative":[82,161],"binomial,":[83],"zero-inflated)":[85],"systematically":[87],"illustrate":[88],"is":[91],"through":[98],"mathematical":[99],"calculations":[100],"tabular":[102],"organization.":[103],"paper":[105],"concludes":[106],"that":[107],"binary":[109],"traditional":[112],"analysis,":[113],"Bernoulli":[115],"distribution":[116,119],"Poisson":[118],"are":[120,148,155],"explaining":[123],"such":[124,139],"simple":[125,153],"networks.":[127,173,202],"as":[129,140],"complexity":[131],"increases,":[135],"when":[136],"complex":[137,160,214],"conditions":[138],"proliferation":[142],"zero":[144],"values":[145],"overdispersion":[147],"added,":[149],"shortcomings":[151],"revealed,":[156],"more":[159,213],"binomial":[162],"zero-inflated":[165],"can":[167,206],"well":[168],"calculate":[169],"analyze":[171],"provides":[176],"strategy":[181],"future":[183,204],"researchers,":[184],"but":[185],"dynamic":[191,217],"multi-model":[192],"mainly":[196],"focuses":[197],"static":[201],"Therefore,":[203],"focus":[207],"analyzing":[209],"application":[211],"disadvantages.":[223]},"counts_by_year":[],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-15T00:00:00"}
