NetMiner

NetMiner is a data analysis tool that provides a wide range of models and tools, enabling users to conduct in-depth analysis and validation of complex network data. The software generates charts and reports, which can be exported as image files. It also offers customization features, allowing users to adjust the layout, style, and shape of charts, text, and hyperlinks to enhance the visual appeal of their reports. Beyond this, NetMiner can be tailored to specific user requirements—such as analyzing text for potential fraud or addressing human resources-related needs—ensuring it remains effective across various operational contexts.

Features of NetMiner:

NetMiner supports unified management of diverse data types—including network (nodes and links), tabular, and unstructured text data—within a single platform. This enables users to perform the entire analysis workflow seamlessly without switching between tools. NetMiner also supports a wide range of analytical methods, allowing users to derive new insights by combining multiple approaches. Analytical results can be saved and reused across workflows(Add to Dataset)

Graph and Network Analysis: Includes Centrality, Community Detection, Blockmodeling, and Similarity Measures.

Machine learning: Provides algorithms for regression, classification, clustering, ensemble modeling and XAI(Explainable AI)

Graph Neural Networks (GNNs): Supports models such as GraphSAGE, GCN, and GAT to learn from both node attributes and graph structure.

Natural language processing (NLP): Uses pretrained deep learning models to analyze unstructured text, including named entity recognition and keyword extraction.

Text mining and Text network analysis: Supports construction of word co-occurrence networks and topic modeling using LDA, BERTopic, enabling identification of thematic patterns and semantic structures in text data.

Data Visualization: Offers advanced network visualization features, supporting multiple layout algorithms. Analytical outcomes such as centrality or community detection can be directly reflected in the network map via node size, color, and position, enhancing intuitive understanding.

Functions of NetMiner:

Real-Time Data Exploration: Explore data dynamically and gain immediate analytical insights.

Research-Oriented Features: Widely used in academic and scientific research for network studies.

Multi-Format Data Import: Import data from various file formats and external sources seamlessly.

Graph Neural Network Support: Utilize modern graph-based AI models for advanced analysis.

Detailed Reporting Tools: Generate comprehensive reports for presentations and decision-making.

Collaboration-Friendly: Share findings and visualizations with teams and stakeholders.

Flexible Analytical Methods: Access a wide range of statistical and network analysis techniques.

FAQs of NetMiner:

Is there a trial version available?

Yes, a free trial is available for everyone. Click the “Free Trial” button at the top right to experience the innovative features of NetMiner 5!

What new features are planned? Are updates installed automatically?

NetMiner 5 will support a wide range of analytical environments and methods through flexible and rapid updates.Future updates will reflect user feedback and focus on areas such as advanced social network analysis, enhanced AI assistant functionality.When you launch NetMiner 5, an update notification will appear, and the update will proceed automatically once you click install.You can also switch to manual updates in the settings.

I'm currently using NetMiner 4. What are the key differences in NetMiner 5?

NetMiner 5 inherits the core concept and essential features of NetMiner 4 as a no-code network data analysis software, while evolving further by integrating the latest technologies such as AI assistants, machine learning, and knowledge graphs into a more intuitive and user-friendly UI/UX.

Are NetMiner 4 project files compatible with NetMiner 5?

Yes, most datasets from existing projects are compatible with NetMiner 5, and we have completed compatibility testing accordingly.However, sessions (module execution history) will not be imported.

Can I continue using NetMiner 4 after the release of NetMiner 5?

Of course.We will announce the official support policy for NetMiner 4 at a later date.

Summary:

NetMiner's data structure is organized around datasets that contain multiple data items, including main node sets, subnode sets, one-mode networks, and two-mode networks. All analysis and visualization are conducted through these datasets, which are managed as projects and saved with a specific file extension.