Stanford CS224W: Analysis of Networks (Autumn 2017)

CS224W:

Analysis of Networks

Autumn 2017

Networks are a fundamental tool for modeling complex social, technological, and biological systems. Coupled with emergence of online social networks and large-scale data availability in biological sciences, this course focuses on the analysis of massive networks which provide many computational, algorithmic, and modeling challenges.
The course will cover recent research on the structure and analysis of such large networks and on models and algorithms that abstract their basic properties. Class will explore how to practically analyze large scale network data and how to reason about it through models for network structure and evolution.
Topics include: how information spreads through society; robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; friend prediction in online social networks; identification of functional modules in biological networks; disease outbreak detection.

Announcements:

Important course information will be posted on this web page and announced in class. You are responsible for all material that appears here and should check this page for updates frequently.

9/26: The first class will be held at 1:30PM on Tuesday 9/26, in NVIDIA Auditorium, Huang Engineering. We look forward to seeing you there!
The info sheet for the course is available: [Info Sheet]
9/26: There will be 2 recitation sessions. Sessions will be video recorded and slides posted here:
1. SNAP.PY : Friday 9/29 4:30-5:20pm, Location: Gates B03
2. Review of probability, linear algebra and proof techniques: Thursday 9/28 4:30-5:20pm, Location: Gates B03