SBIR Phase I: Measuring the dynamics of a patent-innovation?s intrinsic value using eigenvector network centrality

这项创新旨在开发一种考虑美国专利“现有技术”总体的专利评估系统。”。利用特征向量中心性的网络数学，专利的内在价值是基于一项专利和其他专利之间的递归加权关联（其向后和向前引用）来计算的。这种方法建立了专利的相对价值，因此我们对美国专利商标局（USPTO）的所有专利都有一个统一的评估标准。该算法有可能为专利估价问题带来秩序。在特定的时间点，整个美国专利世界中的每一项专利都有一个分数，可以通过无数种方式进行排名，例如：在各自的专利组合中（公司组合，发明人组合，专利代理人组合），在技术分类中（例如，705/310：数据处理/知识产权管理），在整个网络中普遍，等等。监测专利边际分数随时间的扩散（即，专利的熊彼特冲击）也使预测专利的潜在终身价值成为可能。该项目的更广泛/商业影响是开发一种衡量专利创新价值的客观指标（即，提供透明和客观的专利网络动态，并在长期内成为类似于专利的信用评级FICO®分数）。这个项目的成功完成将为那些从事知识产权管理的人提供额外的工具和产品，特别是专利持有人和其他努力估计专利当前和潜在价值的组织。这种关于技术的元创新将有利于商业化生态系统的各个方面，包括：确定可行的创业机会，评估内部/外部技术风险，评估专利主张前景，以及激进创新的整体管理。

The innovation aims to develop a patent-valuation system that considers the totality of a United States patent's ?prior-art? patent-citations. Using network mathematics of eigenvector centrality, a patent's intrinsic value is calculated based on recursively weighting associations between a patent and other patents (its backward and forward citations). This methodology establishes the values of the patents relative to each other so we have a uniform evaluation standard for all patents in the United States Patent & Trademark Office (USPTO). This algorithm has the potential to bring order to the patent-valuation problem. At a particular point in time, every patent within the entire universe of United States patents receives a score which can be ranked in a myriad of ways, such as: within a respective patent portfolio (a firm portfolio, an inventor portfolio, a patent-agent portfolio), within a technology classification (e.g., 705/310: DATA PROCESSING/Intellectual Property Management), universally within the entire network, and so on. Monitoring the diffusion of a patent's marginal score over time (i.e., a patent's Schumpeterian shock) also makes it possible to predict a potential lifetime value of a patent.The broader/commercial impact of this project is to develop an objective metric for the value of patent innovations (i.e., to deliver transparent and objective patent-network dynamics and in the long term become like the credit-rating FICO® score for patents). The successful completion of this project would provide additional tools and products for those engaged in intellectual-property management, specifically the patent holders and other organizations that strive to estimate a patent's current and potential value. This meta-innovation about technology will benefit all facets of commercialization ecosystems, including: identification of viable entrepreneurial opportunities, assessment of internal/external technological venturing, evaluation of patent-assertion prospects, and overall management of radical innovations.