-
RootNode
-
Co-operative College, Mandalay
-
Cooperative College, Phaunggyi
-
Co-operative University, Sagaing
-
Co-operative University, Thanlyin
-
Dagon University
-
Kyaukse University
-
Laquarware Technological college
-
Mandalay Technological University
-
Mandalay University of Distance Education
-
Mandalay University of Foreign Languages
-
Maubin University
-
Mawlamyine University
-
Meiktila University
-
Mohnyin University
-
Myanmar Institute of Information Technology
-
Myanmar Maritime University
-
National Management Degree College
-
Naypyitaw State Academy
-
Pathein University
-
Sagaing University
-
Sagaing University of Education
-
Taunggyi University
-
Technological University, Hmawbi
-
Technological University (Kyaukse)
-
Technological University Mandalay
-
University of Computer Studies, Mandalay
-
University of Computer Studies Maubin
-
University of Computer Studies, Meikhtila
-
University of Computer Studies Pathein
-
University of Computer Studies, Taungoo
-
University of Computer Studies, Yangon
-
University of Dental Medicine Mandalay
-
University of Dental Medicine, Yangon
-
University of Information Technology
-
University of Mandalay
-
University of Medicine 1
-
University of Medicine 2
-
University of Medicine Mandalay
-
University of Myitkyina
-
University of Public Health, Yangon
-
University of Veterinary Science
-
University of Yangon
-
West Yangon University
-
Yadanabon University
-
Yangon Technological University
-
Yangon University of Distance Education
-
Yangon University of Economics
-
Yangon University of Education
-
Yangon University of Foreign Languages
-
Yezin Agricultural University
-
New Index
-
Item
{"_buckets": {"deposit": "7cff9f1d-3601-41f7-bdf5-4ba005f31f54"}, "_deposit": {"id": "4027", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4027"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4027", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Community detection (CD) plays an important role inanalyzing social network features and helping to find outvaluable hidden information. Many research algorithmshave been proposed to find the best community in thenetwork. But it has many challenges such as scalabilityand time complexity. This paper proposes a newalgorithm, Artificial Bee Colony Algorithm with GeneticOperator (ABCGO) that combines crossover andmutation operators with Artificial Bee Colony algorithm.This paper takes modularity Q as objective function.Compared with five state-of-art algorithms, results onreal world networks reflect the effectiveness of ABCGO"}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Social Network"}, {"interim": "Community Detection"}, {"interim": "Artificial Bee Colony"}, {"interim": "Modularity"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-08-05"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Community Detection in Social Network Using Artificial Bee Colony with Genetic.pdf", "filesize": [{"value": "1352 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1352000.0, "url": {"url": "https://meral.edu.mm/record/4027/files/Community Detection in Social Network Using Artificial Bee Colony with Genetic.pdf"}, "version_id": "88956997-b542-42b6-94c4-4f5507f86a2d"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Second International Conference on Advanced Information Technologies (ICAIT 2018)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Aung, Thet Thet"}, {"subitem_authors_fullname": "Nyunt, Thi Thi Soe"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2018-11-01"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1737"}, "item_title": "Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004027", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-05"}, "publish_date": "2019-08-05", "publish_status": "0", "recid": "4027", "relation": {}, "relation_version_is_last": true, "title": ["Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator"], "weko_shared_id": -1}
Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator
http://hdl.handle.net/20.500.12678/0000004027
http://hdl.handle.net/20.500.12678/00000040274994971e-90bc-44c5-8182-df577530ebff
7cff9f1d-3601-41f7-bdf5-4ba005f31f54
Name / File | License | Actions |
---|---|---|
![]() |
|
Publication type | ||||||
---|---|---|---|---|---|---|
Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Community Detection in Social Network Using Artificial Bee Colony with Genetic Operator | |||||
Language | en | |||||
Publication date | 2018-11-01 | |||||
Authors | ||||||
Aung, Thet Thet | ||||||
Nyunt, Thi Thi Soe | ||||||
Description | ||||||
Community detection (CD) plays an important role inanalyzing social network features and helping to find outvaluable hidden information. Many research algorithmshave been proposed to find the best community in thenetwork. But it has many challenges such as scalabilityand time complexity. This paper proposes a newalgorithm, Artificial Bee Colony Algorithm with GeneticOperator (ABCGO) that combines crossover andmutation operators with Artificial Bee Colony algorithm.This paper takes modularity Q as objective function.Compared with five state-of-art algorithms, results onreal world networks reflect the effectiveness of ABCGO | ||||||
Keywords | ||||||
Social Network, Community Detection, Artificial Bee Colony, Modularity | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1737 | |||||
Journal articles | ||||||
Second International Conference on Advanced Information Technologies (ICAIT 2018) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |