Tools for Big Data - Professor Richard Gibbens, University of Cambridge
Explore mathematical modeling of networks with a focus on communication, transport, and energy systems. Learn to apply advanced computational techniques to analyze and interpret big data.
Statistical Analysis of Networks - Professor Gesine Reinert, University of Oxford
Explore network analysis techniques, from basic summaries to advanced models, for interpreting complex data structures and making statistical inferences.
Statistical Inference for Networks - Professor Gesine Reinert, University of Oxford
Explore network analysis, from basic concepts to advanced statistical methods, covering degree distributions, clustering coefficients, and mathematical models for understanding complex interconnected systems.
Networks from Real Data - Algorithmic Information Dynamics
Explore algorithmic information dynamics and its applications in causality and living systems, from networks to cells, using computational approaches.
The Cost of Lightning Network Channels and Its Implications for Network Structure
Lightning Network channels: costs, optimization, and network structure implications. Explores conditions for channel establishment, cost formulas, and potential centralization in bitcoin payment networks.
Topological Data Analysis on Dynamic Brain Networks
Explore topological data analysis for dynamic brain networks, learning to cluster networks into states and analyze temporal changes using Wasserstein distance. Gain insights into state space estimation and heritability of network changes.
Wireshark Network Analysis - Network Management Tools
Explore Wireshark's network analysis capabilities, from packet capture to ARP spoofing, enhancing your network management skills.
Visualizing the Spread of Hoaxes - Innovative Technology in Misinformation Analysis
Innovative technology visualizes hoax propagation, revealing patterns and impact. Big data analyst Ismail Fahmi explores the pervasive nature of misinformation and its spread in the modern digital landscape.
Traceroute and Scapy - Network Analysis Tools
Explore network diagnostics and packet manipulation using Traceroute and Scapy tools, enhancing your understanding of network protocols and security testing techniques.
Internet Scans and Passive Measurements: Analyzing Russian Attacks and Their Impact in Ukraine
Explore techniques for analyzing Russian cyber attacks on Ukraine using Internet scans and passive measurements. Learn to detect power outages, assess infrastructure resilience, and identify DDoS patterns.
Geometry and Complex Networks - A Powerful Partnership
Explore the intersection of geometry and complex networks, uncovering powerful applications in network science, data analysis, and modeling real-world systems.
Data Science on Graphs (DEGAS) Webinar Series - Signal Processing Applications
Learn about data science on graphs with expert Sundeep Prabhakar Chepuri in this IEEE Signal Processing Society webinar, exploring cutting-edge techniques and applications in graph-based data analysis.
Field Campaign Networks to Identify Sexual Harassment in Atmospheric Science and Pilot Interventions
Explore best practices for addressing sexual harassment in atmospheric science field campaigns, focusing on network analysis and pilot interventions to create safer research environments.
Learning and Exploiting Statistical Dependencies in Networks - 2007
Explore statistical dependencies in networks, focusing on learning joint distributions, network navigation, and structure indexing. Discover applications in web mining, bioinformatics, and fraud detection.
Graphon Cross-Validation: Assessing Models on Network Data
Explore graphon cross-validation techniques for network data analysis, enhancing model accuracy and generalizability through innovative validation methods and theoretical insights.
Hospital Network Advisory: Listen to Your Metadata - Understanding Data Signals in Healthcare
Discover how metadata analysis in hospital networks can drive strategic decision-making, enhance operational efficiency, and provide valuable insights for healthcare management optimization.
Topological Node2vec: Improving Graph Embeddings with Persistent Homology
Exploring persistent homology to enhance graph embeddings, combining topology with machine learning for improved data analysis and representation in complex networks.
Network Regression and Its Inference
Explore network regression and inference techniques for analyzing complex network data, focusing on estimating regression coefficients with network effects and addressing observational errors.
Information-Theoretic Metrics of Higher-Order Interactions on Graphs
Explore information-theoretic metrics for analyzing higher-order interactions in complex networks, focusing on graph theory applications and advanced analytical techniques.
Walking Randomly, Massively, and Efficiently
Explore efficient random walk algorithms for massive graphs, focusing on PageRank implementation and optimization techniques for undirected edges and degree-based calculations.
Graph Theory Basics - Types of Graphs - Components of Graph
Explore graph theory fundamentals, including types, components, and applications. Learn about vertex degrees, handshaking lemma, and various graph classifications. Gain insights into adjacency matrices for network analysis.