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

Dataset and High-Resolution Figures for:<br><br>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.<br>https://arxiv.org/abs/1707.09570<br><br>The following data and high-resolution figure files are made available here. <br><br>Dataset:<br>* Original dataset of network science topics -- netsci-course-analysis-dataset.zip<br><br>Figures:<br>* Topic word cloud (Fig. 3) -- word-cloud-final.pdf<br>* Original topic network (not included in the paper) -- topic-network-vector.pdf<br>* Filtered topic network (Fig. 4) -- topic-network2.pdf<br>* Topic communities (Fig. 5) -- comm-rev.pdf<br>* Minimum spanning tree (Fig. 6) -- mst-rev.pdf<br><br>