过滤专利地图以可视化发明人和组织的多元化路径
Filtering Patent Maps for Visualization of Diversification Paths of Inventors and Organizations
摘要：
在信息科学文献中，最近的研究使用专利数据库和专利分类信息来构建专利技术类别的网络地图。在这样的专利技术地图中，几乎所有的技术类别对都是连接的，而它们之间的连接大多非常弱。这一观察结果表明，通过删除薄弱环节来过滤专利网络地图的可能性。然而，删除链接可能会降低网络对发明人或组织多样化的解释力。网络链接可以解释发明人和发明组织的专利组合多样化路径。我们衡量了专利网络图的多样性解释力，并提出了一种方法来客观地选择一个最佳的解释力和删除薄弱环节之间的权衡。我们表明，这种方法可以消除一定程度的任意性与以前的过滤方法的基础上任意阈值，也确定以前的过滤方法，创建过滤器以外的最佳权衡。过滤后的地图旨在帮助对发明者、组织和其他创新代理人的技术多样化进行网络可视化分析，并进行潜在的前瞻性分析。这样的应用程序多产的发明家（伦纳德福布斯）和公司（谷歌）的证明。
英文摘要：
In the information science literature, recent studies have used patent databases and patent classification information to construct network maps of patent technology classes. In such a patent technology map, almost all pairs of technology classes are connected, whereas most of the connections between them are extremely weak. This observation suggests the possibility of filtering the patent network map by removing weak links. However, removing links may reduce the explanatory power of the network on inventor or organization diversification. The network links may explain the patent portfolio diversification paths of inventors and inventing organizations. We measure the diversification explanatory power of the patent network map, and present a method to objectively choose an optimal trade-off between explanatory power and removing weak links. We show that this method can remove a degree of arbitrariness compared with previous filtering methods based on arbitrary thresholds, and also identify previous filtering methods that created filters outside the optimal trade-off. The filtered map aims to aid in network visualization analyses of the technological diversification of inventors, organizations and other innovation agents, and potential foresight analysis. Such applications to a prolific inventor (Leonard Forbes) and company (Google) are demonstrated.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
