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However, existing studies have focused on one-to-one social relationships between students, few ones have explored the high-order community relationships hidden in social networks, especially in a visual manner. To solve this problem, a visual analysis system called ViSSR is proposed in this paper, which utilizes the Louvain algorithm to detect the hierarchical community structure of students\u2019 social network at campus, and then provides four coordinated views to visualize the detection results. Among the views, the hierarchical hypergraph view is to visualize the hierarchical community structure that greatly breaks through the limitations of first-order relationships available in a traditional node-link social network, the community analysis view and individual analysis view show the social characteristics of a community and individual student respectively, and the matrix view displays the behavioral features of students. Case studies and experts evaluation have been conducted to demonstrate the usability of the system.<\/jats:p>","DOI":"10.3233\/ida-230263","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T10:55:22Z","timestamp":1724151322000},"page":"271-291","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["ViSSR: A visual analytics system for student high-order social relationships at campus"],"prefix":"10.1177","volume":"29","author":[{"given":"Xiaoyong","family":"Li","sequence":"first","affiliation":[{"name":"Information Technology Center, Beijing University of Technology, Beijing, China"},{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Huimin","family":"Cheng","sequence":"additional","affiliation":[{"name":"Information Technology Center, Beijing University of Technology, Beijing, China"}]},{"given":"Sufang","family":"An","sequence":"additional","affiliation":[{"name":"Academic Affairs Office, Beijing Open University, Beijing, China"}]},{"given":"Yanjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Information Technology Center, Beijing University of Technology, Beijing, China"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing Artificial Intelligence Institute, Beijing University of Technology, Beijing, China"}]}],"member":"179","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.056117"},{"issue":"1","key":"e_1_3_2_3_2","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1037\/pspi0000395","article-title":"Cultural diversity broadens social networks","volume":"124","author":"Wood A.","year":"2023","unstructured":"Wood A., Kleinbaum A.M., Wheatley T., Cultural diversity broadens social networks, Journal of Personality and Social Psychology 124(1) (2023), 109\u2013122.","journal-title":"Journal of Personality and Social Psychology"},{"issue":"1","key":"e_1_3_2_4_2","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1080\/10494820.2011.641677","article-title":"Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment","volume":"21","author":"Chen C.","year":"2014","unstructured":"Chen C., Chang C., Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment, Interactive Learning Environments 21(1) (2014), 97\u2013124.","journal-title":"Interactive Learning Environments"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2019.01.011"},{"issue":"25","key":"e_1_3_2_6_2","doi-asserted-by":"crossref","first-page":"17645","DOI":"10.1007\/s11042-020-08700-4","article-title":"Visual analysis for evaluation of community detection algorithms","volume":"79","author":"Linhares C.D.G.","year":"2020","unstructured":"Linhares C.D.G., Ponciano J.R., Pereira F.S.F. et\u00a0al., Visual analysis for evaluation of community detection algorithms, Multimedia Tools and Applications 79(25) (2020), 17645\u201317667.","journal-title":"Multimedia Tools and Applications"},{"issue":"6","key":"e_1_3_2_7_2","first-page":"601","article-title":"Educational data mining: a review of the state of the art. 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