What is NetMiner used for?

NetMiner is used to analyze and visualize social networks and text data, combining network analysis, text mining, and machine learning without coding.

Who should use NetMiner?

NetMiner suits academic researchers, social scientists, graduate students, and analysts who study relationships, communities, and themes in network or text data.

How much does NetMiner cost?

NetMiner Pro costs $660 per user per year and Premium costs $990, with academic and commercial licenses plus a free trial.

Does NetMiner have an AI assistant?

Yes. NetMiner 5 includes an AI Assistant powered by OpenAI GPT and Google Gemini that interprets results and suggests next analysis steps.

What are the best alternatives to NetMiner?

Common alternatives to NetMiner include Gephi, UCINET, Neo4j, and KNIME, depending on budget, data scale, and the analysis methods needed.

NetMiner Reviews, Features & Alternatives

Overview

What is NetMiner?

NetMiner is network and text analysis software from Cyram that lets users analyze and visualize complex network data without coding. It handles one-mode, two-mode, and multiplex networks alongside tabular and text data, with centrality, community detection, topic modeling, machine learning, and graph neural networks. An AI Assistant powered by GPT and Gemini helps interpret results. Academic researchers, social scientists, data analysts, and corporate research teams use it for network studies.

Best for

Academic ResearchersSocial ScientistsData AnalystsGraduate StudentsResearch Teams

Product snapshot

Category: Data Analytics
Best for: Social network analysis
Deployment: On-premise
Free trial: Yes
Integrations: UCINET, Pajek, Excel, YouTube API
AI features: Yes

Key features

Key features of NetMiner

Social network analysis

Measures centrality, communities, blockmodels, and similarity across network data.

Network visualization

Draws networks with multiple layouts driven by analysis results.

Text network analysis

Extracts keywords and builds word co-occurrence networks from unstructured text.

Topic modeling

Finds themes in text collections using LDA and BERTopic methods.

Graph machine learning

Trains GraphSAGE, GCN, and GAT models alongside standard machine learning.

AI assistant

Uses GPT and Gemini to interpret results and suggest next steps.

Reviews

NetMiner reviews

Overall

Nobody has reviewed

What users like

No-code network analysis workflow
Combines network and text mining
AI assistant explains results
Wide network file format support

What users dislike

Annual per-user license cost
Text and ML need Premium plan
Learning curve for network methods
Desktop install on Windows or Mac

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Alternatives

Top NetMiner alternatives

Gephi
Best for
Free network visualization
Why choose it
Open-source graph exploration with many layouts
UCINET
Best for
Classic SNA research
Why choose it
Long-standing social network analysis toolkit
Neo4j
Best for
Graph database analytics
Why choose it
Graph storage with data science algorithms
KNIME
Best for
Visual analytics workflows
Why choose it
Free workflow tool with network extensions

Integrations

NetMiner integrations

NetMiner focuses on importing data from research tools and files rather than connecting to business apps. It reads network formats from UCINET (.DL, .DAT), Pajek (.NET, .VEC, .CLU, .PER), StOCNET, and Graph Modelling Language, along with its own NMF project files. Tabular and unstructured text data can be loaded from TXT, CSV, XLS, and XLSX files. A data collection feature pulls records through open APIs from YouTube, OpenAlex, Springer, and KCI, which suits bibliometric and social media studies. The AI Assistant connects to OpenAI GPT and Google Gemini to explain results, and an API and extensions are available for added functionality.

FAQ

NetMiner