In this chapter we will focus on creating a simple network visualisation of the relationship between patent applicants (assignees). 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 chapter focuses on visualising patent data in networks using the open source software Gephi. 15.27 Get the full text of one or more articles.15.26.2 fragment size using hl.fragsize.15.26 Highlighting terms and text fragments with highplos().15.24 Abstract search using plosabstract().15.20.1 Pivoting data using pivot_wider() from tidyr.15.11 Writing the results and using a codebook.15.10 Obtaining the number of records across PLOS Journals.15.9 Obtaining the full number of results.15.7.1 Creating a New Object and Writing to File.15.7 Basic Searching using searchplos(), Navigating and Exporting Data.14.12 Creating an infographic in infogr.am.14.10 Selecting applicants using filter().14.9 Tidying data - Separating and Gathering.14.8 Country Trends using spread() and pivot_wider().12.3 Importing a file to Gephi with the converter plugin.12.2 Opening Gephi and Installing Plugins.11.7 Saving, Display and Privacy Settings.10.8.3 Phonetic Fingerprint (Metaphone 3) clustering.10.4.5 Address Encoding and related problems.10.4.3 Remove leading and trailing whitespace.7.1.12 EPO World Patent Statistical Database. ![]()
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