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There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others. Detecting the community structure of bipartite networks not only contributes to a deeper understanding of their hidden structure, but also lays the foundation for research into the personalized recommendation technology. Most existing algorithms, however, only focus on the detection of non-overlapping community structures while ignoring overlapping community structures. In this study, we developed a micro-bipartite network model, Bi-EgoNet along with an algorithm called Overlapping Community Detection using Bi-EgoNet (OCDBEN). This algorithm first extracts the sub-bi-community set from each Bi-EgoNet using similarity within the bipartite network and then constructs a global community structure by merging the sub-bi-communities using the double-merger strategy. We evaluated the OCDBEN algorithm with several synthetic and real-world bipartite networks and compared it with existing state-of-the-art algorithms. The experimental results demonstrated that OCDBEN outperformed existing algorithms in both accuracy and effectiveness.<\/jats:p>","DOI":"10.3233\/jifs-190320","type":"journal-article","created":{"date-parts":[[2019,10,18]],"date-time":"2019-10-18T10:59:10Z","timestamp":1571396350000},"page":"7965-7976","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Overlapping Community Detection in Bipartite Networks using a Micro-bipartite Network Model: Bi-EgoNet"],"prefix":"10.1177","volume":"37","author":[{"given":"Furong","family":"Chang","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"},{"name":"School of Computer Science and Technology, Kashi University, Xinjiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bofeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songxian","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Kashi University, Xinjiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guobing","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sen","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,10,16]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.14778\/2856318.2856327"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1872-2040(07)60079-6"},{"key":"e_1_3_2_4_2","unstructured":"DavisAllison GardnerBurleigh B. 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