Class project

Once you have finalized your project topic, and team members, please register here. This is a requirement and would help us identify you as teams.

Class project is composed of the following parts:

Project proposal
Project milestone report
Final project writeup
Project poster session

Project

There can be three kinds of class projects:

Experimental evaluation of algorithms and models on an interesting dataset.
A theoretical project that considers a model, an algorithm or a network property (measure) and derives a rigorous result about it.
An in-depth critical survey of one of the course topics relating models, experimental results and underlying social theories and offering a novel perspective on the area.

Ideally, projects will be a mix of the three types of projects outlined above. For some useful project themes, go here. As with the reaction paper, the project should contain at least some amount of mathematical analysis, and some experimentation on real or synthetic data.

There are four deliverables (Click the respective deliverable to know more):

Project proposal (15% of the project grade)
Project milestone report (15% of the project grade)
Final project writeup (50% of the project grade)
Poster presenting your work for a special poster session (20% of the project grade)

Project themes and Datasets :

Click here

Project Proposal

Due on midnight OCT 18 2010

Answer the following questions:

What is the problem you are solving?
What data will you use (how will you get it)?
How will you do the project?
Which algorithms/techniques/models you plan to use/develop?
Be as specific as you can!
Who will you evaluate, measure success?
What do you expect to submit/accomplish by the end of the quarter?

Some other points to note:

The project should contain at least some amount of mathematical analysis, and some experimentation on real or synthetic data
The result of the project will typically be a 10 page paper, describing the approach, the results, and the related work.
File format - PDF. Upload to your dropbox in http://coursework.stanford.edu
We will send a link to a GoogleDoc - Sign up here, and we'll assign Group #s to you.
Name your file: [group#]_projectProposal.pdf

You can work in groups of up to 3 people on the project. Also, a list of the previous year's (2009) course projects is below.

Projects from Fall 2009

The Role of Chatting in Online Shopping : Tracy Chou, Stephen Guo, Mengqiu Wang [pdf]
Examining Online Poker as a Social Network : Carlin Eng, Chetan Sharma [pdf]
An Analysis of Sexual Interactions in a Student Group : David Borowitz, Fred Wulff [pdf]
Mechanisms of Network Shrinkage Due to Stress : David M Blum, Nipun Dave, Raymond Hsu [pdf]
Item-Basket Revenue Maximization : Abhijeet Mohapatra, Abhishek Gupta [pdf]
Analysis of Email Ego Networks : Angel X Chang [pdf]
Inference of Kronecker Structure : Myunghwan Kim [pdf]
Analysis & Generative Model for Trust Networks : Pranav Dandekar [pdf]
Viewing Implicit Social Networks As Bipartite Graphs : Benjamin Bercovitz [pdf]
Finding Answerers on Yahoo! Answers : Venu Gopal Kasturi, CV Krishnakumar Iyer [pdf]
Analyzing the Temporal Dynamics of the News Cycle : Jaewon Yang [pdf]
Inferring Social Groups from Email Archives : Sudheendra Hangal (with Diana MacLean, Seng Keat Teh and Monica S Lam) [pdf]
Modeling Graphs with Attributes : Neal Parikh [pdf]
Faster Kriging on Graphs : Omkar Muralidharan [pdf]
Networks as vectors of their motif frequencies and 2-norm distance as a measure of similarity : Semih Salihoglu [pdf]
An Empirical Analysis of Communities in Real-World Networks : Chuan Sheng Foo [pdf]
Analyzing Stanford’s Academic Network : Ashton Anderson, Stefan Krawczyk [pdf]
Finding Bias in Political News and Blog Websites : Sonal Gupta [pdf]
Analyzing conferences in Twitter with Social Aviary : Ryan Noon, Hamilton Ulmer [pdf]
What Memes Say about the News Cycle? : Shayan Oveis Gharan, Farnaz Ronaghi Khameneh, Ying Wang [pdf]
A Study of Meme Propagation: Statistics, Rates, Authorities, and Spread : Onkar Dalal, Deepa Mahajan, llana Segall, Meghana Vishvanath [pdf]
Understanding the Structure of Links in Networks : Tal Rusak [pdf]
Information Propagation on Twitter : Eldar Sadikov, Maria Montserrat Medina Martinez, [pdf]
Weighing Edges: An Empirical Study on Epinions.com : Leo (Ling-Hung) Kung [pdf]