{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T22:55:56Z","timestamp":1768776956719,"version":"3.49.0"},"reference-count":32,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Res. Metr. Anal."],"abstract":"<jats:p>Our work provides a novel method for rich information discovery about the evolution of technical fields and company developments through patent relationships. A new exploratory method and graphical tool to discover technology proximity based on patent classification information are introduced. By technology we mean a technical field (defined by an International Patent Classification\u2014IPC\u2014code or a combination of them) or an organization (such as a tech company, research center, or institution). A single data structure is used for characterizing both technical fields and organizations, to visualize them as items of the very same body. This new method generates two graphs: the first graph, the <jats:italic>TechnologyMap<\/jats:italic>, visualizes technology items in a 2D plot wherein technical fields and companies will appear positioned relative to each other; the. A second graph, the <jats:italic>Focused TechnologyMap<\/jats:italic>, visualizes technology items with respect to a selected one, the <jats:italic>focus<\/jats:italic>, which is located in the center of a circle whose radii correspond to the complete set of IPC codes. This article represents the process and algorithms used for production of the graphs, and solidifies the assumptions of validity by presenting two of the many successful test cases to which it was applied.<\/jats:p>","DOI":"10.3389\/frma.2023.1096226","type":"journal-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T17:58:17Z","timestamp":1688579897000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["TechMaps: exploring technology relationships through patent information based proximity"],"prefix":"10.3389","volume":"8","author":[{"given":"Eduardo","family":"Perez-Molina","sequence":"first","affiliation":[]},{"given":"Fernando","family":"Loizides","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2023,7,5]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/s11192-016-2107-y","article-title":"Mapping technology space by normalizing patent networks","volume":"110","author":"Alstott","year":"2017","journal-title":"Scientometrics"},{"key":"B2","volume-title":"Modern Multidimensional Scaling: Theory and Applications","author":"Borg","year":"2005"},{"key":"B3","article-title":"\u201cAnalysis of patent databases using vxinsight,\u201d","volume-title":"9th International Conference on Information and Knowledge Management (CIKM 2000)","author":"Boyack","year":"2000"},{"key":"B4","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1002\/asi.10066","article-title":"Domain visualization using vxinsight?for science and technology management","volume":"53","author":"Boyack","year":"2002","journal-title":"J. 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