{"title":"Unravelling technology meta-landscapes: A patent analytics approach to assess trajectories and fragmentation","authors":"Michael E. Adel , Christopher Harrison","doi":"10.1016/j.wpi.2023.102256","DOIUrl":null,"url":null,"abstract":"<div><p><span>Contemporary patent analytics employs a holistic approach whose purpose is to extract insights from aggregate analysis of patent landscapes. For the fruits of this endeavour to be accessible to executives, public servants and other individuals who value their time, the insights must be graphical in nature. In this paper, time evolved ranked </span>Pareto distribution<span> of patent family counts per assignee are analyzed by power law analysis. A graphical representation is presented which provides instantaneous insights into comparative scale and consolidation of technology landscapes. A number of specific data-analytical issues have been investigated and their impact on the validity of the results have been bounded and best-known methods proposed.</span></p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"76 ","pages":"Article 102256"},"PeriodicalIF":2.2000,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Patent Information","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0172219023000868","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Contemporary patent analytics employs a holistic approach whose purpose is to extract insights from aggregate analysis of patent landscapes. For the fruits of this endeavour to be accessible to executives, public servants and other individuals who value their time, the insights must be graphical in nature. In this paper, time evolved ranked Pareto distribution of patent family counts per assignee are analyzed by power law analysis. A graphical representation is presented which provides instantaneous insights into comparative scale and consolidation of technology landscapes. A number of specific data-analytical issues have been investigated and their impact on the validity of the results have been bounded and best-known methods proposed.
期刊介绍:
The aim of World Patent Information is to provide a worldwide forum for the exchange of information between people working professionally in the field of Industrial Property information and documentation and to promote the widest possible use of the associated literature. Regular features include: papers concerned with all aspects of Industrial Property information and documentation; new regulations pertinent to Industrial Property information and documentation; short reports on relevant meetings and conferences; bibliographies, together with book and literature reviews.