Lecture 07

September 24, 2019

For today

• 1. Turn in the third and final installment of your annotated bibliography.

  2. Prepare for a quiz on Chapters 1-4 (here's last year's quiz)

  3. Read the Project Proposal assignment and come to class ready to discuss project ideas.

Today

• 1. Quiz

  2. Project planning

  3. Homework 4

For next time

• 1. Read Chapter 5 of Think Complexity and do the reading quiz

  2. Turn in Notebook 04

  3. Refine your plan for the project and team; we will finalize next time

  4. Read "It's a small world, scale-free network after all"

Modeling network structure

We see lots of things in the world seem natural to represent with networks: basically, anything with components and interactions.

Many of these networks have features in common:

• 1. High clustering

  2. Low path length

  3. High variance in degree

The models we've seen are meant to have structure similar to natural networks.

How did they do?

Ideally, these models help explain why natural networks have this structure.

Question: The WS and BA models offer different explanations for the surprisingly short paths we see in social networks. In a few clear, concise, complete sentences, explain what the two explanations are.

What do we think of these explanations?

Next time, my attempt at a model that has all three properties.