Appendix A — Network Science Resources

Math + Network Theory

Application Domains

Data Sets


  • “The society of Women in Network Science (WiNS) connects women, trans and non-binary gender network scientists from different races, socioeconomic backgrounds, and nations. The society aims to recognize the work, perspectives and expertise of its members to create bridges between academia, government, and private industry related to network science.”
  • Women in Math (WIM) at the UCLA math department is an informal group of women graduate students, postdocs, faculty, and visitors. We regularly hold lunches, dinners, and other social gatherings with the goal of fostering community and providing support for the women in the department. WIM welcomes cis and trans women, as well as anyone else who would like to try out the space.
    • WIM has assembled an excellent resource on applying to graduate school and what to expect when you get there.

Python Computing

  • CS For All, a website and book developed for brand-new programming learners by the Department of Computer Science at Harvey Mudd College.
  • Lecture notes and videos from PIC16A, my course on core skills in Python programming and data science.
  • A Whirlwind Tour of Python by Jake VanderPlas is an excellent, rapid overview of fundamental Python skills. It is suitable for those who have experience in several other programming languages, or for those who previously learned Python and just need a brush-up.
  • Lecture notes from PIC16B, my course on advanced computational and data science in Python.
  • The Python Data Science Handbook by Jake VanderPlas is an excellent and freely-available online resource for practical data science in Python.