Dr. Frank McCown
Science 200
MW 3:00 - 4:15 pm
Fall 2019

Class links

• Syllabus
• A Plea for Integrity
• Canvas
• Introduction to Python (DataCamp)

Overview

1. Studying the Web
   • Slides
     • Introduction to Web Science
     • Web Architecture
     • Web Characterization
     • Web Archiving
   • Homework
     • DataCamp: Introduction to Python
     • Web Structure
     • MyCurl
     • URL Availability
   • Project
     • Web Crawler
2. Web Search Engines
   • Slides
     • Searching the Web
     • How Does a Web Search Engine Work?
     • Search Engines and Link Analysis
     • Searching for Images, Video, and Audio
   • Homework
     • Search Queries
     • TF-IDF
     • PageRank and HITS
   • Project
     • Search Engine
3. Social Networks and the Web
   • Slides
     • Introduction to Social Networks
     • Significant Nodes
     • Network Structures
     • Tie Strength
     • Graph Partitioning
     • Formation of Social Networks
   • Homework
     • Graph Basics
     • Triadic Closure and Tie Strength
     • Triadic Closure Python Script
     • Friendship Paradox
     • Embeddedness and Betweenness
   • Project
     • Social Network Analysis
4. Collective Intelligence
   • Slides
     • Collective Intelligence
     • Recommender Systems
     • Clustering Algorithms
     • Document Filtering
   • Homework
     • Movie Recommendations
     • Spam Classification
   • Project
     • Movie Recommendations

Python

• Python Quick Guide
• Python Documentation

Other Resources

• Web Science courses at ODU: Spring 2017 and Spring 2020
• Web Science Trust

Recommended Books

An Introduction to Search Engines and Web Navigation


Networks, Crowds, and Markets: Reasoning About a Highly Connected World


Programming Collective Intelligence
(Errata)