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

SBIR 第一阶段：使用特征向量网络中心性衡量专利创新内在价值的动态

• 批准号: 1315850
• 负责人: Monte Shaffer
• 金额: $ 15万
• 依托单位: Entrepreneurial Innovation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1315850&HistoricalAwards=false
• 关键词: SBIR; Phase; Measuring; dynamics; patent

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.

这项创新旨在开发一种专利评估系统，该系统考虑到美国专利的全部？现有技术？专利引用。利用特征向量中心性的网络数学，基于专利与其他专利之间的递归加权关联(其后向和前向引用)来计算专利的内在价值。这种方法建立了专利相对于彼此的价值，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。这一算法有可能给专利评估问题带来秩序。在特定时间点，整个美国专利体系中的每一项专利都会收到一个分数，该分数可以通过多种方式进行排序，例如：在各自的专利组合(公司组合、发明者组合、专利代理组合)内，在技术分类内(例如，705/310：数据处理/知识产权管理)，在整个网络内普遍存在，等等。监测专利的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/更广泛的商业影响是为专利创新的价值制定一个客观的衡量标准(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)。该项目的成功完成将为那些从事知识产权管理的人，特别是努力估计专利当前和潜在价值的专利持有人和其他组织提供额外的工具和产品。这种关于技术的元创新将使商业化生态系统的方方面面受益，包括：确定可行的创业机会，评估内部/外部技术冒险，评估专利主张前景，以及全面管理激进创新。