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Date Topic Readings Due Lecture
1/8 Introductions ek01 L01
1/10 Data Collection r01 L02
1/15 No Class (MLK)
1/17 Representing Graphs ek02 L03
1/22 Small Worlds ek20 L04
1/24 Community Detection I lru10.2-3 A0 L05
1/29 Community Detection II lru10.4 L06
1/31 Link Prediction lnk2004 L07
2/5 Cascades I ek16 L08
2/7 Cascades II ek19 Proposal L09
2/12 Sentiment Analysis I plv2002 Q1 L10
2/14 Sentiment Analysis II tgd2003 A1 L11
2/19 Test 1
2/21 Demographic Inference I L12
2/26 Demographic Inference II L13
2/28 Recommendation Systems I mmds09 L18
3/5 Recommendation Systems II L19
3/7 More Classification notes A2 L14
3/12 No Class (Spring Break)
3/14 No Class (Spring Break)
3/19 More Classification notes Milestone L15
3/21 Guest Lecture
3/26 Text Regression L16
3/28 Text Regression A3 L17
4/2 Word Clustering 16.4 L20
4/4 Word Clustering L20
4/9 Special Topics (Bots/Fake news)
4/11 Special Topics (TBD) Q2
4/15 -- Presentation
4/16 Presentations
4/18 Presentations Report
4/23 Ethics A4 L21
4/25 Test 2