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Kenelyze’s December 2023 Release: Hierarchical Layouts, Google Sheets Data and Visual Templates

Kenelyze’s December 2023 Release: Hierarchical Layouts, Google Sheets Data and Visual Templates

The December 2023 release of Kenelyze is now available for all users and includes various exciting new features, including a brand new hierarchical layout algorithm, the ability to import data directly from Google Sheets data, and support for visual templates to quickly style visualizations. Here’s a quick […]

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Who’s Who in Large Language Model Science? Mapping Science as a Graph

Who’s Who in Large Language Model Science? Mapping Science as a Graph

Interactive version of the visualization: https://kenedict.com/networks/llm Large Language Models and their applications are here to stay, with key players such as Microsoft, Google, Baidu and Alibaba all having announced ChatGPT-like functionality or products. Of course, there’s a lot of science behind these achievements. Let’s turn to graphs […]

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Moving From Tabular Data to Graph-Powered Insights Using Kenelyze

Moving From Tabular Data to Graph-Powered Insights Using Kenelyze

Getting started with a graph visualization project initially requires actually getting your source data into a format which structures the data as nodes (data points), links and any properties associated with them. In many cases, you may start off with data formatted as a regular table consisting […]

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Kenelyze’s January 2023 Release: Visualizing Data from Graph Databases

Kenelyze’s January 2023 Release: Visualizing Data from Graph Databases

Kenelyze can now seamlessly connect with various leading graph databases and import and visualize data on the fly! As opposed to traditional databases, graph databases store data as nodes and the relationships between them. This is a perfect fit for storing connected data (or, data shaped as […]

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Kenelyze September 2021 Release: Import, Visualize & Export Matrix Data

Kenelyze September 2021 Release: Import, Visualize & Export Matrix Data

The September 2021 release of Kenelyze is now live! Kenelyze allows users to visualize their connected data on the fly in the form of fully interactive network maps. From this release onwards, it is now also possible to generate customizable matrix visualizations for any network created in […]

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Kenelyze’s Autumn 2020 Release: Text Networks, Improved Performance and More

Kenelyze’s Autumn 2020 Release: Text Networks, Improved Performance and More

The Autumn 2020 release of Kenelyze is now live for all users! This release brings major new functionality which allows users to create Text Similarity and Co-Occurrence networks based on input of unstructured text data, including for example document abstracts, book summaries, product reviews, press releases and […]

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Guest Post: 4 key insights on the HR Tech landscape… analysis from London Unleash 2019

Guest Post: 4 key insights on the HR Tech landscape… analysis from London Unleash 2019

Guest Post By Adam McKinnon and Leandra Griep In this article we take a data-driven look at HR Technology, using network analysis. Specifically, we objectively examine the question “which technologies and vendors are influential in the HR Tech landscape?” The big tech players are generally known, and […]

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Kenelyze’s first 2020 release brings automated network updates, multiple node dragging and more

Happy 2020! Kenelyze starts the year with a brand new release which is available right now for all users. It includes various features and improvements which aim to make working with networks even easier. Here’s a quick rundown of what’s new: Network updates This major new feature […]

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Kenelyze now includes Visual Annotation, New Metrics, Improved Data Filters and more

Kenelyze is a visual analytics platform which allows anyone to create fully interactive network maps on the fly using any dataset. It was built to enable data analysts to leverage the full power of network analysis and visualisation from within the comfort of their browser and integrate […]

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Kenelyze is a product by Kenedict Innovation Analytics