Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Graph Mining: Social Networks Analysis

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (36)

Social and Information Networks: Ranking Log in to Mediaspace to watch this video

Explores the significance of ranking in networks, emphasizing algorithms like PageRank and HITS for web page ranking.

Statistical analysis of network data Log in to Mediaspace to watch this video

Covers stochastic properties, network structures, models, statistics, centrality measures, and sampling methods in network data analysis.

Social and Information Networks: Structure Log in to Mediaspace to watch this video

Explores the structure of social and information networks, focusing on giant components, clustering, tie formation, and network connectivity.

Digital History Projects: Design and Analysis Log in to Mediaspace to watch this video

Covers digital history projects, social relationships in research, data preprocessing challenges, and network analysis tools.

Modularity: Community Detection Algorithms Log in to Mediaspace to watch this video

Explores the Louvain Modularity Algorithm for optimizing community quality through modularity and its applications in social network analysis.

Social Network Analysis: Modularity Measure Log in to Mediaspace to watch this video

Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.

Graph Mining: Link Based Ranking and Document Classification Log in to Mediaspace to watch this video

Explores link-based ranking, document classification, and graph mining techniques.

Graph Coloring: Theory and Applications Log in to Mediaspace to watch this video

Explores graph coloring theory, spectral clustering, community detection, and network structures.

Unsupervised Learning: Dimensionality Reduction and Clustering Log in to Mediaspace to watch this video

Covers unsupervised learning, focusing on dimensionality reduction and clustering, explaining how it helps find patterns in data without labels.

Urban Metabolism Analysis Log in to Mediaspace to watch this video

Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.

Graph Statistics: Random Graphs, Graph Homomorphisms, and Network Analysis Log in to Mediaspace to watch this video

Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.

Digital History and Digitized Press Log in to Mediaspace to watch this video

Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.

Gaussian Naive Bayes & K-NN Log in to Mediaspace to watch this video

Covers Gaussian Naive Bayes, K-nearest neighbors, and hyperparameter tuning in machine learning.

Advanced Pandas Functions Log in to Mediaspace to watch this video

Covers advanced functions of Pandas, focusing on filtering, labeling, and manipulating dataframes.

Property Ownership in Geneva Log in to Mediaspace to watch this video

Explores property ownership distribution in Geneva, highlighting wealth concentration in urban areas and significant public ownership in peripheral regions.

Linear Regression & Correlation Log in to Mediaspace to watch this video

Covers linear regression, correlation analysis, and logistic regression fundamentals, emphasizing the distinction between correlation and causation.

Page 2 of 2