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Graph-tool, a free Python module for manipulation and statistical analysis of graphs. NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).
Aerospike Graph is a highly scalable, low-latency property graph database built on Aerospike’s proven real-time data platform. Aerospike Graph combines the enterprise capabilities of the Aerospike Database - the most scalable real-time NoSQL database - with the property graph data model via the Apache Tinkerpop graph compute engine.
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.
The dataset is made up of a number of data artifacts (JSON, JSONL & CSV text files & SQLite database) Climate news DB, Project's GitHub repository [395] ADGEfficiency Climatext Climatext is a dataset for sentence-based climate change topic detection. HF dataset [396] University of Zurich GreenBiz
The figure below demonstrates a simple example of the software's ability to create and modify variations across large amounts of networks. Graph representations of several spanning tree networks in Karger's algorithm. NetworkX has many network and graph analysis algorithms, aiding in a wide array of data analysis purposes.
A very simple Copy & Paste Excel-to-Wiki Converter; A free open source tool to convert from CSV and Excel files to wiki table format: csv2other; Spreadsheet-to-MediaWiki-table-Converter This class constructs a MediaWiki-format table from an Excel/GoogleDoc copy & paste. It provides a variety of methods to modify the style.
Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
A graphical model or probabilistic graphical model (PGM) or structured probabilistic model is a probabilistic model for which a graph expresses the conditional dependence structure between random variables. Graphical models are commonly used in probability theory, statistics—particularly Bayesian statistics—and machine learning.