Your friendly guide to graph
analysis,NetMiner is Graph Data Science software.
Graph data software, NetMiner
NetMiner is Graph Data Science software.
NetMiner provides guidance in graph analysis to anyone who is new to the subject.
With NetMiner, graph data may be modeled and analyzed, and machine learning, statistics, text analysis and visualization techniques applied.
Key Features of NetMiner
NetMiner provides all the functions users need to support their data analysis workflow, from data collection to analysis automation.
Import multi-type data
In the process of importing data into NetMiner, the data stored on files
and databases in various formats may be modeled in a graph structure
with nodes, links, and node and link properties.
Graph data model
NetMiner can express multiple graph layers in a single data set, and manage
these multiple layers efficiently by simultaneously expressing 1-mode and
2-mode graphs. In addition, it is possible to effectively implement a recursive
analytical process by adding the analytical results back to the input data.
Data Transformation and Extraction
NetMiner has the functions required to handle data easily and conveniently according
to the user's intention.
Data extraction by conditions
Using the query function, you can conveniently filter the data based
on the properties of nodes and links as the conditions.
Graph transformation function
You can change the structure and contents of graph data according
to the purpose and needs of analysis, such as directionality, weight,
layer integration, and mode transformation.
NetMiner's visualization function allows you to understand the graph data more
intuitively. Various layout algorithms are provided to implement the visualizations
optimized for various graph data, and styling based on the node and link properties
is possible. Furthermore, a visual navigation function is provided to intuitively
understand the graph.
NetMiner includes universal graph analytical methods, and as such, it may be
used to solve analysis problems in various domains. Experience over 100 graph
analysis related functions.
Statistics and machine learning
NetMiner is equipped with multivariate statistical analysis and machine learning
algorithms as well as graph analysis related functions, allowing you to construct
models that combine multiple analytical methods. For example, the graph analytical
results may be used as input data for statistical analysis and machine learning to
gain new insights.
Online data collection
With the online data collection function, you can conveniently secure data for analysis.
NetMiner uses Open API to collect the Social Media data and academic paper data and automatically models them as social networks and text networks.
Social Media Data Collector : Collects the user and text data of Facebook, Twitter, and YouTube
Biblio Data Collector : Collects bibliographic information of academic journals such as Springer and KCI
Text network analysis
The demand for text analysis has increased, yet there are still many barriers
to the preprocessing and analysis of unstructured text data. NetMiner provides
comprehensive functions for text network analysis, from text data preprocessing
to semantic network construction, network analysis, and topic analysis.
Python based automation
NetMiner performs analysts' simple repetitive tasks with programming to obtain
the best results. Analytical scripts using Python allow the users to automate their
own analytical process or control it outside of NetMiner.
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