Section A- Scribing Notes
	Chapter 1 - Introduction to Networks, Sara Stolbach
	Chapter 2 - Real Networks, Sara Stolbach
	Chapter 3 - Random Graphs, Will Mee
	Chapter 4 - Network Software, Matt Chu
	Chapter 5 - Properties of Networks, Anjali Koppal
	Chapter 6.1 - Power Law Degree Distributions, Daniel Mack
	Chapter 6.2 - Power Law Degree Distributions, Ruiyan Wu
	Chapter 7 - Self Similarity, Ruiyang Wu
	Chapter 8 - Small World Networks, Yves Petinot
	Chapter 9 - Random Walks and Electrical Networks, Aly Khan
	Chapter 10 - Method of relaxations and other methods for computing harmonic functions, Eigenvector methods, Nandini Bhardwaj
	Chapter 11 - Community Identification, Madhav Krishna
	Chapter 12 - Spectral Clustering, Wei Liu and Sara Stolbach
	Chapter 13.1 - Lexical Networks, Snehit Prabhu
	Chapter 13.2 - Lexical Networks, Joseph Kaptur
	Chapter 14.1 - Applications to information retrieval and NLP, Felix Sanchez Garcia
	Chapter 14.2 - Applications to information retrieval and NLP, Michael Brotzman
	Chapter 15 - Social networks, Cascading Behavior, Anil Raj
	Chapter 16 - Strength of weak ties, Assortativity and homophily, Ruiyang Wu
	Chapter 17 - Biological, Technological and other Networks, Anil Raj
	Chapter 18 - Network Traversal, Yves Petinot
	Chapter 19 - Bibliometrics, Junfeng He
	Chapter 20 - The Ising Model and Percolation on Graphs, Aly Khan
	Chapter 21 - Semisupervised learning on graphs, Anjali Koppal
	Chapter 22 - Diffusion on graphs and the heat kernel, TBD
	Chapter 23 - Network evolution, Joseph Kaptur
	Chapter 24 - Co-clustering, Michael Brotzman
	Chapter 25 - Semi-Supervised Learning on Graphs by Gunes Erkan, Felix Sanchez Garcia
	Chapter 26 - Dependancy Parsing on Graphs by Ryan McDonald, Nandini Bhardwaj
Section B- Analysis of Datasets
	Chapter 1 - Italian Family Network
	Chapter 2 - Bilingual, Spanish to English Network, Matt Chu
	Chapter 3 - Book Reader Friendship Network, Felix Sanchez Garcia
	Chapter 4 - Citations of US Supreme Court Cases Network, William Jonathan Mee
	Chapter 5 - Clothing Recommendation Network, Sara Stolbach
	Chapter 6 - Collocation Networks using the Gigaword Corpus, Madhav Krishna
	Chapter 7 - Campaign Contributions Network, Daniel Mack
	Chatper 8 - Enron E-mail Network, Ruiyang Wu
	Chapter 9 - Facebook Social Network using Columbia Engineering Group, Junfeng He
	Chapter 10 - Facebook Social Network using friends and friends of friends, Michael Brotzman
	Chapter 11 - Linkage Disequilibrium Network in TCF7L2 Gene, Snehit A Prabu
	Chapter 12 - MicroRNA Network, Aly Azeem Khan
	Chapter 13 - Musician Network, Anjali Koppal
	Chapter 14 - Nanoarchaeum Protein Interaction Network, Anil Raj
	Chapter 15 - NYC Power Cable Network, Nandini Bhardwaj
	Chapter 16 - Rhyming Networks, Joseph Kaptur
Section C - Replicating Papers
	Chapter 1 - Collective dynamics of ‘small-world’ networks by Duncan J. Watts & Steven H. Strogatz, Michael Brotzman:
	Chapter 2 - Community structure in the United States House of Representatives by Mason A. Porter, Peter J. Mucha, M.E.J. Newman, A.J. Friend, Joseph Kaptur
	Chapter 3 - Finding and evaluating community structure in networks by M. E. J. Newman and M. Girvan, Matt Chu
	Chapter 4 - Finding and evaluating community structure in networks by M. E. J. Newman and M. Girvan, Will Mee
	Chapter 5 - Global organization of the Wordnet lexicon by Mariano Sigman and Guillermo A. Cecchi, Anjali Koppal
	Chapter 6 - Global organization of the Wordnet lexicon by Mariano Sigman and Guillermo A. Cecchi, Ruiyang Wu
	Chapter 7 - Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations by Jure Leskovec, Jon Kleinberg and Christos Faloutsos, Daniel Mack
	Chapter 8 - Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering by Mikhail Belkin and Partha Niyogi, Aly Khan
	Chapter 9 - Lazy Snapping by Yin Li, Jian Sun, Chi-Keung Tang and Heung-Yeung Shum, Junfeng He
	Chapter 10 - Navigation in a small world by Jon Kleinberg, Felix Sanchez-Garcia
	Chapter 11 - Network properties of written human language by A. P. Masucci and G. J. Rodgers, Sara Stolbach
	Chapter 12 - Protein-protein interaction networks and biology—what’s the connection? by Luke Hakes, John W Pinney, David L Robertson & Simon C Lovell, Snehit Prabhu
	Chapter 13 - Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions by Zhu, Ghahramani and Lafferty, Nandini Bhardwaj
	Chapter 14 - The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth by Mark Steyvers and Joshua B. Tenenbaum, Anil Raj
	Chapter 15 - The small world of human language by Ramon Ferrer i Cancho and Ricard V. Sole, Madhav Krishna
Section D - Final Projects
	Chapter 1 - Associating Mendelian Disease with SNPs using network analysis, Snehit Prabhu
	Chapter 2 - A graphcut framework for image tampering detection, Junfeng He
	Chapter 3 - Determining the critical performance behavior of graph-based density classification in small-world network, Michael Brotzman
	Chapter 4 - Exploring steroid use in baseball through network analysis, Daniel Mack
	Chapter 5 - Game Trees as Networks, Joseph Kaptur
	Chapter 6 - Graph-based video recommedation system -- the YouTube case study, Ruiyang Wu
	Chapter 7 - Modeling Network Dynamics Using Exponential Random Graph Models, Aly Azeem Khan
	Chapter 8 - Motifs in lexical networks, Felix Sanchez Garcia
	Chapter 9 - Predicting NCAA Basketball Tournament Results, Matt Chu
	Chapter 10 - Semi-Supervised Learning on the Con Edison Cable Network, Nandini Bhardwaj
	Chapter 11 - Study of Latent Semantic and Lexical Networks, Anil Raj
	Chapter 12 - Studying networks formed from random permutations of words from a corpus, Madhav Krishna
	Chapter 13 - Tackling the Netflix Challenge from a Network Theory Perspective, Anjali Koppal
	Chapter 14 - Multifaceted nodes in multi-relation Networks, Sara Stolbach
	Chapter 15 - Voting Patterns in the Decisions of the US Supreme Court, William Mee