NetMiner

NetMiner is an application software for exploratory analysis and visualization of large network data based on SNA(Social Network Analysis). It can be used for general research and teaching in social networks. This tool allows researchers to explore their network data visually and interactively, helps them to detect underlying patterns and structures of the network.[1] It features data transformation, network analysis, statistics, visualization of network data, chart, and a programming language based on the Python script language. Also, it enables users to import unstructured text data(e.g. news, articles, tweets, etc.) and extract words and network from text data. In addition, NetMiner SNS Data Collector, an extension of NetMiner, can collect some social networking service(SNS) data with a few clicks.

NetMiner
Developer(s)Cyram Inc.
Initial releaseDecember 21, 2001 (2001-12-21)
Stable release
4.4.2 / December 4, 2018 (2018-12-04)
Written inJava
Operating systemWindows
Available inEnglish
TypeSocial Network Analysis / Visualization
Websitewww.netminer.com

It has been released in 2001 as a commercial analysis software specialized in social network analysis. There are various license not only for commercial use, but also for non-commercial academic use.[2] The current version is 4 for Microsoft Windows (2000 or later version).[3]


Release history

The first version of NetMiner was released on Dec 21, 2001. There have been four major updates from 2001.

NetMiner

Released on December 21, 2001.

  • Network analysis modules and network visualization modules were integrated to one package
  • User interface for data analysis and management was added
  • Generic data structure for multi-layer network was introduced

NetMiner 2

Released on April 9, 2003.

  • Modules for importing external data were introduced
  • Some measures and methods for network analyses and statistical analyses are added and improved
  • Some algorithms for visualization processes are added and improved

NetMiner 3

Released on May 15, 2007.

  • Data structure was improved for huge network analysis
  • Analysis and visualization modules are integrated to support standardized analysis processes
  • Data import modules to access external DB such as Oracle and MS SQL were introduced
  • Environments for visualization and analysis were integrated to one

NetMiner 4

Released on May 10, 2011.

  • Python-based NetMiner Script was introduced
  • Encryption module for NMF format was added
  • Diffusion, Mining modules was added (Version 4.1.0.b.130318)
  • Two mode analysis modules and Mining(Classification, Regression, Anomaly Detection, Frequent Subgraph etc.) was added (Version: 4.2.0)
  • Morphological analyzer and new features(Word Cloud, Topic modeling algorithm, etc.) for Semantic network analysis was introduced. (Version 4.3.0)
  • Extension 'SNS Data Collector(Twitter, Facebook, YouTube)' was introduced - NetMiner can analyze networks between user and text at the same time. (Version: 4.4.0)
  • Current(2018.12) version: 4.4.2

Extension

NetMiner Extension is small program to extend the functionality of NetMiner. In other words, it enables you to customize NetMiner according to your needs. By adding ‘NetMiner Extension’, you can expand your research.

Download data from web
  • SNS Data Collector: It collects social media data from Facebook, YouTube or Twitter, which have a large number of social media users worldwide.


File formats

NetMiner data file format
  • .NMF

Importable/exportable formats
  • Plain text data: .TXT, .CSV
  • MS-Excel data: .XLS, .XLSX
  • NetMiner 2 data: .NTF
  • UCINet data: .DL, .DAT
  • Pajek data: .NET, .VEC, .CLU, .PER
  • StOCNET data file: .DAT
  • Graph Modelling Language data: .GML(importing only)
  • Unstructured text data: .TXT, .CSV

Data structure

Hierarchy of NetMiner data structure

A DataSet is a basic unit in NetMiner and used as an input data for all the analysis and visualization Modules. A DataSet is composed of four types of data items: Main Nodeset, Sub Nodeset, 1-mode Network data and 2-mode Network data. A DataSet can have only one Main Nodeset. But multiple 1-mode Network data can be contained in a DataSet. Moreover, a DataSet contains multiple Sub Nodesets and multiple 2-mode Network data. ProcessLogs which are generated by analysis and visualization process can be managed with a DataSet in a Workfile. A Project contains independent multiple Workfiles. A number of nodes in Main NodeSet of each workfile does not need to be the same. In this way, the hierarchy of NetMiner data structure is as follow:

Script workbench in NetMiner 4

NetMiner 4 equips script workbench based on Python script language with script generator which enables users to generate a programmable script automatically. Then users can operate functions in NetMiner 4 by using GUI or programmable script language. Most functions of NetMiner can be performed using script rather than clicking menu so that complicated series of commands can be stored in script and executed repeatedly. Various existing libraries written by Python can be applicable within NetMiner 4 without any modifications, and ordinary data structures which were provided by Python can be defined. Users can develop their own algorithms by combinations of NetMiner features. A generated script file can be added to NetMiner 4 as a one of menu by a form of plug-in which can be shared with other NetMiner users. Using loops, conditionals, in-depth analysis is available. And users can create and use a batch file which is executed automatically for NetMiner.

gollark: No. It really isn't. Aaaaaaaaa.
gollark: Which means I can't forget to do that, as it's an opt-*in* thing to directly include raw HTML.
gollark: Yeees, but good templating engines also handle that for me when I write code.
gollark: The second way can fix all the escapey messes pretty simply and easily, since I'm not meddling with just sticking the user data directly into a string in the first place.
gollark: For example, when I write SQL statements in my projects, I am not doing something like `INSERT INTO messages VALUES ($nickname, $message)` i.e. directly interpolating that data, because SQL injection; I do `DB.run("INSERT INTO MESSAGES VALUES (?, ?)", [nickname, message])` or something like that.

See also

References
  1. Furht, Borko (2010). Handbook of Social Network Technologies and Applications. Springer Press. p. 19. ISBN 978-1-4419-7141-8.
  2. NetMiner website(www.netminer.com) > License
  3. NetMiner website(www.netminer.com) > System Requirements
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