How to Study Patent Network Analysis
Jieun Kim,
Buyong Jeong and
Daejung Kim
Additional contact information
Jieun Kim: Hanyang University
Buyong Jeong: Korean Intellectual Property Office
Daejung Kim: Hankyong National University
Chapter Chapter 8 in Patent Analytics, 2021, pp 97-114 from Springer
Abstract:
Abstract A guide to aid research design in conducting patent network analysis from the formulation of research questions to patent data collection and subsequent network analysis introduces this chapter. It is designed for those with no programming skills and provides a high-level overview of free, open-source tools that offer different functionalities for network analysis and visualization. Finally, Gephi and Dyson’s patent data samples are used to exemplify a four-step patent network analysis—data collection (step 1), data cleaning and mapping (step 2), network analysis (step 3), and network visualization (step 4).
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-2930-3_8
Ordering information: This item can be ordered from
http://www.springer.com/9789811629303
DOI: 10.1007/978-981-16-2930-3_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().