{"id":"https://openalex.org/W2900276471","doi":"https://doi.org/10.1609/aaai.v33i01.33017842","title":"A Generative Model for Dynamic Networks with Applications","display_name":"A Generative Model for Dynamic Networks with Applications","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2900276471","doi":"https://doi.org/10.1609/aaai.v33i01.33017842","mag":"2900276471"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33017842","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017842","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4782/4660","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4782/4660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100661055","display_name":"Shubham Gupta","orcid":"https://orcid.org/0000-0001-9692-4096"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shubham Gupta","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084592821","display_name":"Gaurav Sharma","orcid":"https://orcid.org/0000-0002-9306-4227"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Sharma","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010292297","display_name":"Ambedkar Dukkipati","orcid":"https://orcid.org/0000-0002-6352-6283"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ambedkar Dukkipati","raw_affiliation_strings":["Indian Institute of Science"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100661055"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00265252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"7842","last_page":"7849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9940999746322632,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9878000020980835,"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/computer-science","display_name":"Computer science","score":0.7562719583511353},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7293953895568848},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6819431781768799},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.623079240322113},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6066891551017761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5345681309700012},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47627466917037964},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.47450587153434753},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46909984946250916},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07250189781188965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06566467881202698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562719583511353},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7293953895568848},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6819431781768799},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.623079240322113},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6066891551017761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5345681309700012},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47627466917037964},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.47450587153434753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46909984946250916},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07250189781188965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06566467881202698},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1609/aaai.v33i01.33017842","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017842","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4782/4660","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai::78129","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401429","display_name":"ePrints@IISc (Indian Institute of Science)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:arXiv.org:1802.03725","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.03725","pdf_url":"https://arxiv.org/pdf/1802.03725","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":"text"},{"id":"mag:2900276471","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1802.03725.pdf","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.1802.03725","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.03725","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":"doi:10.1609/aaai.v33i01.33017842","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33017842","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4782/4660","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2900276471.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W114560312","https://openalex.org/W1122068625","https://openalex.org/W1603920809","https://openalex.org/W1967087957","https://openalex.org/W2104827998","https://openalex.org/W2105821726","https://openalex.org/W2135348090","https://openalex.org/W2149025117","https://openalex.org/W2158535911","https://openalex.org/W2168878667","https://openalex.org/W3104833085","https://openalex.org/W6640963894","https://openalex.org/W6658288680","https://openalex.org/W6675939294","https://openalex.org/W6676274861","https://openalex.org/W6679023746","https://openalex.org/W6745827991","https://openalex.org/W6785351508","https://openalex.org/W6785424743","https://openalex.org/W6884716058","https://openalex.org/W6891875054"],"related_works":["https://openalex.org/W2963155895","https://openalex.org/W2787000672","https://openalex.org/W3113833844","https://openalex.org/W2803600120","https://openalex.org/W2896239789","https://openalex.org/W3033693697","https://openalex.org/W3049675501","https://openalex.org/W2932978649","https://openalex.org/W3044032010","https://openalex.org/W2583700507","https://openalex.org/W3175206710","https://openalex.org/W3101581040","https://openalex.org/W2950423166","https://openalex.org/W1622945981","https://openalex.org/W3137826498","https://openalex.org/W945122848","https://openalex.org/W2025997294","https://openalex.org/W2583689815","https://openalex.org/W2748287123","https://openalex.org/W1083218774"],"abstract_inverted_index":{"Networks":[0],"observed":[1],"in":[2,68,89],"real":[3,102],"world":[4,103],"like":[5],"social":[6],"networks,":[7],"collaboration":[8],"networks":[9,37,104],"etc.,":[10],"exhibit":[11],"temporal":[12],"dynamics,":[13],"i.e.":[14],"nodes":[15,49],"and":[16,93,101,111,117],"edges":[17,56],"appear":[18],"and/or":[19],"disappear":[20],"over":[21,59],"time.":[22,60],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"a":[28,80],"generative,":[29],"latent":[30],"space":[31],"based,":[32],"statistical":[33],"model":[34,62,92,121],"for":[35,105],"such":[36],"(called":[38],"dynamic":[39],"networks).":[40],"We":[41,78],"consider":[42],"the":[43,46,53,64,69,90,106,115],"case":[44],"where":[45],"number":[47,65],"of":[48,55,66,108,119],"is":[50],"fixed,":[51],"but":[52],"presence":[54],"can":[57],"vary":[58],"Our":[61],"allows":[63],"communities":[67],"network":[70,82],"to":[71,85,124],"be":[72],"different":[73,75],"at":[74],"time":[76],"steps.":[77],"use":[79],"neural":[81],"based":[83],"methodology":[84],"perform":[86],"approximate":[87],"inference":[88],"proposed":[91],"its":[94],"simplified":[95],"version.":[96],"Experiments":[97],"done":[98],"on":[99],"synthetic":[100],"task":[107],"community":[109],"detection":[110],"link":[112],"prediction":[113],"demonstrate":[114],"utility":[116],"effectiveness":[118],"our":[120],"as":[122],"compared":[123],"other":[125],"similar":[126],"existing":[127],"approaches.":[128]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}