"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>配套数据集与高分辨率图表：<br><br>作者：Hiroki Sayama，论文题为《绘制网络科学课程的结构与内容图谱》，收录于由Catherine Cramer、Hiroki Sayama、Lori Sheetz、Stephen Uzzo及Mason Porter编辑的《教育中的网络科学——变革教学的工具与方法》，Springer出版社，2017年，即将出版。<br>https://arxiv.org/abs/1707.09570<br><br>以下提供本研究配套的数据集与高分辨率图表文件。<br><br>数据集：<br>* 网络科学主题原始数据集——netsci-course-analysis-dataset.zip<br><br>图表：<br>* 主题词云 (Topic word cloud)（图3）——word-cloud-final.pdf<br>* 原始主题网络 (Original Topic Network)（未收录于论文）——topic-network-vector.pdf<br>* 过滤后主题网络 (Filtered Topic Network)（图4）——topic-network2.pdf<br>* 主题社群 (Topic Communities)（图5）——comm-rev.pdf<br>* 最小生成树 (Minimum Spanning Tree)（图6）——mst-rev.pdf