{"id":"https://openalex.org/W7134185788","doi":"https://doi.org/10.1109/bigdata66926.2025.11402311","title":"Comparative Analysis of Community Detection Algorithms and Machine Learning Approaches for Network Analysis","display_name":"Comparative Analysis of Community Detection Algorithms and Machine Learning Approaches for Network Analysis","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7134185788","doi":"https://doi.org/10.1109/bigdata66926.2025.11402311"},"language":null,"primary_location":{"id":"doi:10.1109/bigdata66926.2025.11402311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11402311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117099961","display_name":"Oluwafolake Ayano","orcid":null},"institutions":[{"id":"https://openalex.org/I96408529","display_name":"Taylor University","ror":"https://ror.org/005aghs32","country_code":"US","type":"education","lineage":["https://openalex.org/I96408529"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Oluwafolake Ayano","raw_affiliation_strings":["Taylor University,Computer Science and Engineering,Upland,IN,USA"],"affiliations":[{"raw_affiliation_string":"Taylor University,Computer Science and Engineering,Upland,IN,USA","institution_ids":["https://openalex.org/I96408529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114530035","display_name":"Kehinde Ayano","orcid":null},"institutions":[{"id":"https://openalex.org/I138535782","display_name":"Indiana Wesleyan University","ror":"https://ror.org/04hrnch96","country_code":"US","type":"education","lineage":["https://openalex.org/I138535782"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kehinde Ayano","raw_affiliation_strings":["Indiana Wesleyan University,Computer Science,Marion,IN,USA"],"affiliations":[{"raw_affiliation_string":"Indiana Wesleyan University,Computer Science,Marion,IN,USA","institution_ids":["https://openalex.org/I138535782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5117099961"],"corresponding_institution_ids":["https://openalex.org/I96408529"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77903152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2725","last_page":"2731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.3203999996185303,"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":0.3203999996185303,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.03889999911189079,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.01860000006854534,"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/network-analysis","display_name":"Network analysis","score":0.36480000615119934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.349700003862381},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3391000032424927},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3296999931335449},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.28839999437332153},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2822999954223633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6966000199317932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.612500011920929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.548799991607666},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42260000109672546},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32519999146461487},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.27129998803138733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata66926.2025.11402311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11402311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2033193852","https://openalex.org/W2077488147","https://openalex.org/W2095293504","https://openalex.org/W2099940443","https://openalex.org/W2126751256","https://openalex.org/W2131681506","https://openalex.org/W2296509296","https://openalex.org/W2340896621","https://openalex.org/W2740924709","https://openalex.org/W2755326359","https://openalex.org/W2964229821","https://openalex.org/W4395456428"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-03-09T07:06:17.341095","created_date":"2026-03-09T00:00:00"}