Network Analysis
This one gives Claude the vocabulary and framework to analyze network structures, from finding influential nodes and communities to mapping organizational hierarchies. You'd reach for it when dealing with social networks, citation graphs, supply chains, or any interconnected system where relationships matter as much as the nodes themselves. It covers the core concepts (centrality measures, community detection, graph metrics) and suggests practical applications like fraud detection through transaction networks or identifying bottlenecks in org structures. The repo has 245 stars and passes security audits, so it's been around the block. Honestly most useful if you're regularly working with graph data and want Claude to speak the language without having to explain betweenness centrality from scratch every time.
- GitHub stars
- 317
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill 'Network Analysis' --agent claude-codeInstalls into .claude/skills of the current project.
Files
Network Analysis
Overview
This skill enables analysis of network structures to identify communities, measure centrality, detect influential nodes, and visualize complex relationships in social networks, organizational structures, and interconnected systems.
When to Use
- Analyzing social networks to identify influential users and community structures
- Mapping organizational hierarchies and identifying key connectors or bottlenecks
- Studying citation networks to find impactful research papers and collaboration patterns
- Building recommendation systems based on network relationships and similarities
- Analyzing supply chain networks to optimize logistics and identify vulnerabilities
- Detecting fraud patterns through network analysis of financial transactions
Network Concepts
- Nodes: Individual entities
- Edges: Connections/relationships
- Degree: Number of connections
- Centrality: Node importance measures
- Community: Densely connected groups
- Clustering Coefficient: Local density
Key Metrics
Sponsors
Agent CaffeineSponsoredClose your lid, come back to finished work
SnugSponsoredThe clipboard manager for the AI eraPromote your product hereReach 125k+ visitors monthly
WaxSponsoredBlock anything with supervision, without erasing your iPhonePromote your product hereReach 125k+ visitors monthly
knobsSponsoredSee your site on any phone, any day, in any languageDetails
- Repository
- github.com/aj-geddes/useful-ai-prompts
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
More from aj-geddes/useful-ai-prompts
All 258- Neural Network Design
- Recommendation Engine
- Recommendation System
- Regression Modeling
- Sentiment Analysis
- Statistical Hypothesis Testing
- Survival Analysis
- Time Series Analysis
- Nodejs Express Server3.3K
- Code Review Analysis2.4K
- Jenkins Pipeline2.2K
- Rest Api Design2.1K
- Architecture Diagrams2K
- Ansible Automation1.9K
- Ios Swift Development1.5K
- Nginx Configuration1.5K
- Android Kotlin Development1.5K
- Flask Api Development1.4K
- Wireframe Prototyping1.4K
- Markdown Documentation1.3K
- Terraform Infrastructure1.2K
- Responsive Web Design1.1K
- Penetration Testing1.1K
- Css Architecture969
Recommended
More AI & Agent Building
Neural Network Designaj-geddes/useful-ai-promptsDesign and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow0skills.sh installsRecommendation Engineaj-geddes/useful-ai-promptsBuild recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches0skills.sh installsRecommendation Systemaj-geddes/useful-ai-promptsBuild collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement0skills.sh installsStatistical Hypothesis Testingaj-geddes/useful-ai-promptsConduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing0skills.sh installsSurvival Analysisaj-geddes/useful-ai-promptsAnalyze time-to-event data, calculate survival probabilities, and compare groups using Kaplan-Meier and Cox proportional hazards models0skills.sh installs
cf-editArman-Kudaibergenov/1c-ai-development-kitТочечное редактирование конфигурации 1С. Используй когда нужно изменить свойства конфигурации, добавить или удалить объект из состава, настроить роли по умолчан0skills.sh installs