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Online Social Networks
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Lecture 1: Introduction Introduction
to main problems about networks. Basic mathematic
concepts Material:
Lecture
slides (pptx, pdf).
Lecture 2: Network Measurements
and Models Degree
distributions. Measuring power-laws. Clustering
Coefficient, Effective Diameter, Bow-tie structure, Homophily. Material:
Communities in Social Networks, Clustering, Betweeness, Modularity Material:
Lecture 4: Graph Partitioning, Densest Subgraph Graph
Partitioning, Spectral Clustering. The
Densest Subgraph problem. Material:
Lecture 5: Link Analysis Ranking Web
search, PageRank, HITS. SALSA. Random walks
on graphs. Material:
Lecture slides: (pptx, pdf) Lecture 6: Information Cascades,
Epidemics, Influence Maximization.
Material:
Lecture slides: (pptx, pdf) Lecture 7: Opinion Formation
models, Absorbing Random Walks. DeGroot
and Friedkin-Jonhsen model. Absorbing Random
Walks. Other opinion formation models. Material:
Lecture slides: (pptx, pdf)
Material:
Lecture slides: (pptx, pdf) Lecture 9: Network Ties Networks
with Positive and Negative ties. Structural
Balance. Strong and
Weak ties. Strong Triadic Closure. Material:
Lecture slides: (pptx, pdf) Lecture 10: Team formation in Social Networks. Team
formation in Social Networks. . Material: Lecture slides: (pptx, pdf) Lecture 11: Fairness and Diversity in Social Media Formal
models for fairness. Diversity in Social
Media. Material:
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