{"_buckets": {"deposit": "84b0f1ed-9b33-4e8a-896d-6ac71522df82"}, "_deposit": {"id": "4037", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4037"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4037", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Community Detection in Social Graph Using Nature-Inspired Based Artificial Bee Colony Algorithm with Crossover and Mutation", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Many types of social network are modelled asgraphs. Community detection has been an important researcharea in social graph analysis. Community detection can beviewed as an optimization problem. Nowadays, researchers usenature-inspired algorithms to solve optimization problem.Their goal is to find the optimal solution for a given problem.In this paper, nature-inspired based artificial bee colonyalgorithm with crossover and mutation is used to detectcommunity in social graphs. GraphX is built as a library onthe top of Spark by encoding graph as a collection of verticesand edges. Comparative studies describe that the proposedalgorithm and other nature-inspired algorithms can effectivelydetect the community structure on real world social graphs asother traditional community detection algorithms."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "artificial bee colony"}, {"interim": "community detection"}, {"interim": "graph"}, {"interim": "GraphX"}, {"interim": "spark"}, {"interim": "crossover"}, {"interim": "mutation and 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 Graph Using Nature-Inspired Based Artificial Bee.pdf", "filesize": [{"value": "743 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 743000.0, "url": {"url": "https://meral.edu.mm/record/4037/files/Community Detection in Social Graph Using Nature-Inspired Based Artificial Bee.pdf"}, "version_id": "1517ecc2-7251-418e-b8c5-311dc1d8fc86"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "IEEE 4th International Conference on Computer and Communication Systems(2019)", "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"}, {"subitem_authors_fullname": "Cho, Pyae Pyae Win"}]}]}, "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": "2019"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/1746"}, "item_title": "Community Detection in Social Graph Using Nature-Inspired Based Artificial Bee Colony Algorithm with Crossover and Mutation", "item_type_id": "21", "owner": "1", "path": ["1597824175385"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004037", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-08-05"}, "publish_date": "2019-08-05", "publish_status": "0", "recid": "4037", "relation": {}, "relation_version_is_last": true, "title": ["Community Detection in Social Graph Using Nature-Inspired Based Artificial Bee Colony Algorithm with Crossover and Mutation"], "weko_shared_id": -1}