Nozomi Networks has patented a method for representing network objects in a GUI using graph clustering. The method involves grouping nodes into clusters, calculating cluster mass and radius, and visualizing the network graph based on a predefined distance value. The clusters are compressed or expanded based on distance ratios. GlobalData’s report on Nozomi Networks gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Nozomi Networks, Facial recognition AI was a key innovation area identified from patents. Nozomi Networks's grant share as of May 2024 was 7%. Grant share is based on the ratio of number of grants to total number of patents.
Method for representing network objects in gui with graph clustering
A recently granted patent (Publication Number: US11983803B2) outlines a method for representing objects of a network in a graphical user interface (GUI) using graph clustering. The method involves retrieving a base graph with nodes and links, grouping nodes into clusters, initializing clusters by calculating mass and radius, assessing clusters based on predefined distance values, and positioning the visualization graph in the GUI. The assessment process includes compressing or expanding clusters based on distance ratios and adding links between nodes and clusters as per the base graph. The method also involves iteratively assessing and positioning when the predefined distance value changes.
Furthermore, the patent details the positioning of the visualization graph by assigning initial positions to nodes and cluster nodes, computing forces acting on them, defining new positions using a velocity verlet algorithm, and iterating until positions stabilize. The method also includes assigning initial positions based on cluster expansion status, storing cluster center positions, and computing forces such as link forces, gravitational forces, damping forces, and central forces on nodes and cluster nodes. The comprehensive method aims to efficiently represent network objects in a GUI using graph clustering while ensuring accurate visualization and positioning based on dynamic parameters.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
