Residential higher education brings thousands of students together for multiple years and offers them an array of shared intellectual experiences and a network of social interactions. Many of these intellectual and social connections are formed during courses. Students are connected to students through courses they take together, and courses are connected to one another by students who take both. These courses and the students who take them form a bipartite network that encodes information about campus structures and student experiences. Because all institutions of higher education collect and maintain precise records of what courses students take, it is possible to assemble a student-course network that quantitatively describes the interactions among students and courses. We provide an example that demonstrates the identification of courses effective at creating unique connections among students and reveals how students and majors can be strongly connected or dispersed. We show how social network analysis can be used to improve our understanding of the learning environment at the University of Michigan, and we hope that this kind of analysis is of interest to persons at other institutions.

中文翻译：

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校园联系：高等教育中的学生和课程网络

住宿高等教育多年来将成千上万的学生聚集在一起，并为他们提供一系列共享的知识经验和社交互动网络。许多这些知识和社会联系是在课程期间形成的。学生通过他们一起参加的课程与学生建立联系，并且课程通过同时参加这两个课程的学生相互联系。这些课程和学习它们的学生形成了一个双向网络，对有关校园结构和学生体验的信息进行编码。由于所有高等教育机构都收集并保存学生所修课程的精确记录，因此可以构建一个学生课程网络，量化描述学生和课程之间的相互作用。我们提供了一个示例，展示了如何有效地在学生之间建立独特联系的课程的识别，并揭示了学生和专业如何紧密联系或分散。我们展示了如何使用社交网络分析来提高我们对密歇根大学学习环境的理解，我们希望这种分析对其他机构的人感兴趣。