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Data · dataset · 2017

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

Listed in DataCite

Description

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. arxiv.org/abs/1707.09570 The following data and high-resolution figure files are made available here.

Dataset:

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  • Original dataset of network science topics -- netsci-course-analysis-dataset.zip Figures:
  • 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

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Topics

Inferred from text
Network engineering 77%

Related

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DataCite10.6084/m9.figshare.5500843.v113 d agoJSON v1
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