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Unleashing Hidden Power of Networks

Update: Enhance Your Network Analysis with Statistical Insight

Turn Your Analysis into More Convincing Research

Social Network Analysis provides valuable insights by revealing structures and describing relationship patterns.
However, when you can also explain how statistically valid those results are,
the persuasive power of your analysis increases significantly.

To support this, the latest update strengthens features that allow statistical testing tailored to the characteristics of both node level and network level data.
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Latest Updates
NetMiner 5 is available for both Windows and macOS.
To stay up to date, simply turn on Auto Update in Preferences.
Hierarchical Clustering
Hierarchical clustering is now available for both nodes and networks.
You can cluster nodes based on similar attributes, or identify groups with similar relational characteristics and structural roles within the network.
Statistical Analysis for Network
Analyze network structures and relationships using statistics designed for network data. Network Correlation, Autocorrelation, and MRQAP help test similarity, autocorrelation, and tie formation factors.
Statistical Analysis for Attributes
Linear and logistic regression, as well as ANOVA, have been added for node level attribute data. From basic descriptive statistics to hypothesis testing, you can now perform essential statistical analyses directly within NetMiner.
We’ve also fixed several known bugs.
Release Notes
NetMiner is a social network analysis / graph analytics platform
and provides all the features to support your data analysis workflow


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