Week 1 |
Intro to course (Live lecture) |
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Intro to OSM |
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Incidents |
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Tutorial 1 Part 1 - Ubuntu |
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Tutorial 1 Part 2 - Python |
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Tutorial 1 Part 3 - Git |
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Week 2 |
OSM APIs and tools for data collection |
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Trust and credebility on OSM |
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Tutorial 2 Reddit API |
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Week 3 |
Misinformation on Social Media |
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Privacy and Social Media |
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Tutorial 3 Part 1 - Twitter API |
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Tutorial 3 Part 2 - MySQL |
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Tutorial 3 Part 3 - MongoDB |
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Week 4 |
Privacy and Pictures on Online Social Media |
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Tutorial 4 Part 1 - Python essentials - numpy |
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Tutorial 4 Part 2 - Python essentials - pandas, matplotlib |
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Week 5 |
Policing and Social Media - Part 1 |
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Policing and Social Media - Part 2 |
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Policing and Social Media - Part 3 |
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Week 6 |
eCrime on Online Social Media - Part 1 |
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eCrime on Online Social Media - Part 2 |
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Tutorial 5 - Social Network analysis (closeness, betweenness) |
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Week 7 |
Link Farming in Online Social Media |
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Nudges |
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Semantic Attacks: Spear Phishing |
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Tutorial 6 - Analyzing text using Python NLTK |
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Week 8 |
Profile Linking on Online Social Media |
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Anonymous Networks |
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Tutorial 7 - Gephi Network Visualization |
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Week 9 |
Privacy in Location Based Social Networks (Part 1) |
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Privacy in Location Based Social Networks (Part 2) |
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Tutorial 8: Visualisation highcharts |
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Week 10 |
Beware of What You Share Inferring Home Location in Social Networks |
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On the dynamics of username change behavior on Twitter |
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Boston Marathon Analyzing Fake Content on Twitter |
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