The Friendship Paradox for Sparse Random Graphs
Explore the friendship paradox in sparse random graphs, examining structural properties and implications for network analysis and social dynamics.
Local Graph Clustering with Noisy Labels
Explore techniques for local graph clustering with noisy labels, focusing on applications in complex networks and data analysis.
Logarithms: Applications in Mobile Technology, Pandemic Modeling, and Social Networks
Explore logarithms' relevance in modern life, from pandemic modeling to information theory and social networks. Discover their history and applications in this insightful lecture by Professor Oliver Johnson.
LGBT and Women in Physics: Social Network Analysis on Career Persistence
Explore how women and LGBT physicists build professional networks and overcome challenges in their careers through qualitative Social Network Analysis, focusing on experiences that contribute to their persistence in the field.
Efficient Community Search Based on Relaxed k-truss Index
Explore advanced techniques for efficient community search in networks using relaxed k-truss indexing methods and graph-based algorithms for optimized data analysis.
Dynamic Graphs - Session 8B
Explore cutting-edge research on dynamic graph algorithms and their applications in computer science at this IEEE FOCS 2020 session.
Dynamic Graphs - Session 7B
Explore cutting-edge research on dynamic graph algorithms and their applications in computer science at this IEEE FOCS 2020 session.
Deep Dive in the Dark Web OSINT Style
Explore OSINT techniques for investigating the Dark Web, including market analysis, social network mapping, and tools for uncovering hidden content and connections.
Técnicas OSINT para la generación de Inteligencia
Técnicas OSINT y SOCMINT para obtener información valiosa en investigaciones. Incluye teoría y práctica con ejercicios en vivo de análisis de redes sociales para extraer inteligencia procesable.
Using Whole Genome Sequencing and Social Network Analysis to Track Disease
Innovative approach combining DNA sequencing and social network analysis solves mysterious tuberculosis outbreak, revolutionizing public health investigations and disease tracking.
Social Network Analysis - A Scary Primer
Explore unconventional data fusion techniques to analyze social networks, revealing insights from digital footprints and real-world sensors. Learn about graph theory and its applications in personal data analysis.
Social Network Analysis in Python
Learn to analyze social networks using Python, exploring graph theory concepts and practical applications for understanding complex relationships and information flow.
Social Network Analysis con Python
Explora el análisis de redes sociales utilizando Python, aprendiendo técnicas y herramientas para extraer información valiosa de estructuras de datos complejas y relaciones entre entidades.
Complex - Social Network Analysis in Python
Explore social network analysis using Python, covering techniques and tools for understanding complex network structures and relationships.
Social Network Analysis: Introduction - Lecture 1
Explore fundamental concepts and principles of Social Network Analysis in this introductory lecture.
Understanding Temporal Hypergraph Dynamics with Zigzag Persistence
Explore temporal hypergraphs and zigzag persistence to analyze complex systems' topological evolution, applied to cybersecurity and social networks for understanding underlying dynamics.
Network Science Is Not Scale Invariant
Explore the concept of scale dependence in network science, challenging common assumptions and examining its implications for complex systems analysis.
Complex Networks Sparsification - Methods and Tools
Discover essential network sparsification techniques for identifying meaningful connections in complex networks, from social platforms to word networks, while effectively managing noise and non-essential edges.
New Machine Learning Tools for Structured Prediction - 2012
Explore advanced machine learning techniques for structured prediction in NLP and social network analysis, focusing on Markov Random Fields and risk minimization approaches.
Introduction to Statistical Network Analysis - Lecture 3
Explore statistical network analysis techniques with Keith Levin. Gain insights into advanced methods for analyzing complex network structures and their applications in various fields.
Introduction to Statistical Network Analysis - Lecture 2
Explore statistical network analysis techniques with Keith Levin. Gain insights into advanced methods for analyzing complex network structures and their applications in various fields.