Network Science In Education

Transformational Approaches in Teaching and Learning

  • Catherine B. Cramer
  • Mason A. Porter
  • Hiroki Sayama
  • Lori Sheetz
  • Stephen Miles Uzzo

Table of contents

  1. Front Matter
    Pages i-ix
  2. Creating New Courses

  3. Creating New Degree Programs

    1. Front Matter
      Pages 57-57
    2. Evelyn Panagakou, Mark Giannini, David Lazer, Alessandro Vespignani, Kathryn Coronges
      Pages 71-85
    3. János Kertész, Balázs Vedres
      Pages 87-97
  4. Education Network Analysis

  5. Tools and Techniques

    1. Front Matter
      Pages 139-139
    2. Angela Zoss, Adam Maltese, Stephen Miles Uzzo, Katy Börner
      Pages 169-187
    3. Toshihiro Tanizawa
      Pages 189-199
  6. Back Matter
    Pages 201-205

About this book


Around the globe, there is an increasingly urgent need to provide opportunities for lifelong learners to embrace complexity; to develop the many skills and habits of mind relevant to today’s complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity, not only to leverage new paradigms for understanding the structure and function of teaching and learning communities, but also for promoting new approaches to developing methods, curricular materials, and resources. Network science — the study of connectivity — can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula.

 Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and its activities - has evolved in response to escalating activity in the field of network science and the need for all people to be able to access the field through education channels.

Network Science In Education: Transformational Approaches in Teaching and Learning offers case studies from the wide variety of activities that have been developed around the globe to address this need: the creation of entirely new courses and degree programs; tools for K–20 learners, teachers and the general public; and in-depth analysis of selected education networks. As network-based pedagogy and the community of practice continues to grow, we hope that the book’s readers will join this vibrant network education community in order to build on these nascent ideas and to help deepen the understanding of networks for all learners. 


teaching network science network science as teaching tool introducing network theory undergraduate network science learning network science literacy social network analysis education STEM teaching and learning

Editors and affiliations

  • Catherine B. Cramer
    • 1
  • Mason A. Porter
    • 2
  • Hiroki Sayama
    • 3
  • Lori Sheetz
    • 4
  • Stephen Miles Uzzo
    • 5
  1. 1.Data Science InstituteColumbia UniversityNew YorkUSA
  2. 2.Department of MathematicsUniversity of California Los AngelesLos AngelesUSA
  3. 3.Department of Systems Science and Industrial EngineeringBinghamton University, State University of New YorkBinghamtonUSA
  4. 4.Center for Leadership and Diversity in STEM, Department of Mathematical SciencesUnited States Military AcademyWest PointUSA
  5. 5.New York Hall of ScienceCoronaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Education
  • Print ISBN 978-3-319-77236-3
  • Online ISBN 978-3-319-77237-0
  • Buy this book on publisher's site