NetMiner 5 is an advanced analytics platform developed by CYRAM Inc. that combines graph theory, machine learning, and AI to analyze, visualize, and interpret network and text data. Designed for researchers, analysts, and decision-makers across academia, government, and industry, NetMiner helps users uncover complex relational and textual patterns without requiring any programming expertise.
At its core, NetMiner is built around social network analysis (SNA), enabling the structural exploration of relationships between people, organizations, documents, and concepts. It supports one-mode, two-mode, and multiplex networks, and provides a wide range of SNA metrics from basic to advanced to assess individual centrality, group dynamics, and whole-network structure.
NetMiner goes beyond traditional SNA by integrating machine learning (ML) and graph neural networks (GNNs). Users can easily apply supervised and unsupervised learning techniques such as classification, regression, and clustering, as well as GNN models like GCN, GraphSAGE, and GAT, for predictive modeling.
In terms of text analysis, NetMiner offers powerful capabilities to extract keywords, build co-occurrence networks, generate word clouds, and perform topic modeling using LDA. This allows users to move beyond frequency-based analysis and explore the latent meaning structure in large text corpora.
NetMiner includes a powerful interactive 2D visualization engine that makes network structure exploration intuitive. Nodes and links can be styled by centrality, frequency, or categories, and users can zoom, filter, and drag to explore key actors and patterns. These visualizations are directly linked to the data for accurate interpretation. Even with large datasets, dynamic visual analysis is possible without writing code.
The built-in AI Assistant, powered by LLMs like GPT and Gemini, helps interpret results and suggests next steps—making it accessible even to users who are new to network or text analysis.
NetMiner is widely used across fields including:
- Academic research: sociology, communication, political science, digital humanities, education
- Policy analysis and public sector planning: stakeholder mapping, policy network evaluation, community structure detection
- Enterprise analysis: internal communication auditing, compliance monitoring, customer segmentation, influencer analysis
- Media and social media analysis: opinion leader detection, information diffusion, discourse analysis
- Cybersecurity and anomaly detection: email network analysis, abnormal behavior pattern identification
NetMiner supports importing and exporting various file formats (CSV, Excel) and integrates with external tools via APIs and scripting.
Licenses are available for students, educational institutions (schools), and organizations/corporations.
More than just a network visualization tool, NetMiner is a complete analysis environment built on the foundation of network thinking. It helps users move from data to insight to action—faster, smarter, and with greater clarity.
To learn more or request a demo, visit www.netminer.com
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Product Description
NetMiner 5 offers an integrated environment that supports the entire analytics workflow—from data collection to interpretation— along with a wide range of data types and analytical techniques such as Social Network Analysis/Graph Analytics, M/L, GNN and Visualization. With big data collection, AI-powered auto-interpretation, and a user-friendly, intuitive interface, anyone can easily get started with data analysis.
Overview by
Jaeyoung Park