![]() ![]() Next you will be asked to select the file to use. Make sure that you choose the co-occurrence option. You should now see a menu like that below. Open Gephi and Choose File > Importįor this to work we need to use the Import function under the File menu. For more on the conversion plugin see this description Excel/csv converter to network plugin. While you are there you may want to check out the other plugins to get an idea of what is available. You will need to restart Gephi for it to take effect but if you return to the Plugins menu and then choose the installed tab you should see this. Just keep pressing at the prompts and then you will need to restart at the end. Select the check box, press Install and follow through the menus. You now want to look for a plugin called Convert Excel and csv files to networks. Click on name to sort them alphabetically. At this point you may want to press Reload Catalog to make sure everything is loaded. You will see a pop up menu for the plugins. To install the plugin select the Tools menu in the menu bar and then Plugins. When you have installed Gephi, open it and you should see the following welcome screen.īefore we do anything else, we need to install a plugin developed by Clement Levallois to convert Excel and csv files into gephi network files. The dataset can be downloaded from Github in a zip file to unzip here. Very very similar results can be achieved using Open Refine as described in Chapter 9 of this Manual. The dataset has been extensively cleaned in Vantage Point by separating out applicant and inventor names and then using fuzzy logic matching to clean up names. The dataset consists of 5884 patent documents containing the terms “drone or drones” in the full text deduplicated to individual families from the full publication set. However, network visualisation can be used to visualise a range of fields and relationships, such as inventors, key words, IPC and CPC codes, and citations among other options.įor this chapter we will use a dataset on drones from the Lens patent database. In this article we will focus on creating a simple network visualisation of the relationship between patent applicants (assignees). You can read the chapter in electronic book format here and find all the materials including presentations at the WIPO Analytics Github homepage. This article is now a chapter in the WIPO Manual on Open Source Patent Analytics. We have chosen to focus on Gephi because it is a good all round network visualisation tool that is quite easy to use and to learn. In addition, network visualisation packages are available for R and Python. Gephi is one of a growing number of free network analysis and visualisation tools with others including Cytoscape, Tulip, GraphViz, Pajek for Windows, and VOSviewer to name but a few. This article focuses on visualising patent data in networks using the open source software Gephi. ![]()
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