"Mapping the Curricular Structure and Contents of Network Science Courses": Dataset and High Resolution Figures

Dataset and High-Resolution Figures for:Hiroki Sayama, Mapping the curricular structure and contents of network science courses, in Catherine Cramer, Hiroki Sayama, Lori Sheetz, Stephen Uzzo, and Mason Porter, eds., Network Science in Education -- Tools and Techniques for Transforming Teaching and Learning, Springer, 2017, to appear.https://arxiv.org/abs/1707.09570The following data and high-resolution figure files are made available here. Dataset:* Original dataset of network science topics -- netsci-course-analysis-dataset.zipFigures:* Topic word cloud (Fig. 3) -- word-cloud-final.pdf* Original topic network (not included in the paper) -- topic-network-vector.pdf* Filtered topic network (Fig. 4) -- topic-network2.pdf* Topic communities (Fig. 5) -- comm-rev.pdf* Minimum spanning tree (Fig. 6) -- mst-rev.pdf