Network Analysis (NA) refers to a comprehensive set of quantitative analytical tools used to examine networks structural characteristics. This analysis can be applied to any type of networks (e.g. social networks, networks emerging from scientific collaborations, networks of submarine cables) and it has been adopted both in social sciences and technical disciplines. This analysis models phenomena as networks allowing the solutions to otherwise unanswered questions. For instance, to assess the similarity of firm’s patent portfolios or to analyse interdependencies between firms involved in several patent litigations cases. Whether network analysis is an appropriate tool depends on whether the specific data can be meaningfully thought as a set of nodes and links among those nodes. In this chapter, we argue that intellectual property, and patent data in particular, meet this requirement, and propose some interesting questions that can be addressed by employing NA.
|Title of host publication||Handbook of Intellectual Property Research: Lenses, Methods, and Perspectives|
|Editors||Irene Calboli, Maria Lilla Montagnani|
|Publisher||Oxford University Press|
|Publication status||Published - 20 May 2021|