Category: Curricular Materials

Network Science Workshop Training Manual Development

December 15th, 2015 in #DataNetSciK20, Curricular Materials, News

Since 2011, NetSci High has been developing and leading workshops for K-12 students, teachers and graduate students. Every summer we have hosted an immersive summer training “boot camp” that led to yearlong research projects for high school student teams, teachers and graduate students from partner research labs.

We are now in the process of packaging our training materials into formats that can be generalized and adapted to different settings, from K-12 classroom based modules, to infusion into undergraduate curricula, to immersive “NetSci High” programs nationally and internationally in high schools as well as middle or elementary schools or in corporate settings.

We are aiming to publish the manual by June 2016.

For more information visit: Network Science Workshop Training Manual

Hiroki Sayama Publishes Complex Systems Textbook

September 23rd, 2015 in Curricular Materials, News, Publications

NetSci High collaborator Hiroki Sayama has recently published the textbook
Introduction to the Modeling and Analysis of Complex Systems


Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.

Graphr: Visualizing Congressional Collaboration

November 12th, 2012 in #DataNetSciK20, Curricular Materials

Graphr is an interactive software which visualizes collaboration networks in the 112th US Congress. Collaborations are implied from the "signers" on congressional statements.

To launch the online software click here: Graphr Congressional Visualizer

Some questions:

  • Select 2011 colored by party. How many clusters do you see? (A cluster is a collection of highly interconnected nodes). What are the primary attributes of each cluster?
  • Select 2010 colored by party. Notice the small cluster of republicans. Try dragging them around to uncover their structure (click a node after dragging it to unpin it). What senator is represented by the most connected node in this cluster (hover over the node to see)? Look him up on wikipedia. Is there anything special you can identify about him?
  • Select 2008. Notice the pairs of isolated connected nodes. Hover over them. What property do these pairs share that is causing them to be connected?
  • Select 2011 colored by party. Are there any nodes that stand out as having unusual connections? Look them up on wikipedia. Can you explain what’s happening?
  • Select 2009 colored by gender. Does this suggest that women are more likely to work with each other in congress? Try hovering over each woman and/or coloring them by different properties. What can you tell?

We invite you to explore and find our own connections!