Research on potential disruptive technology identification based on technology network

Three evident and meaningful characteristics of disruptive technology are the zeroing effect that causes sustaining technology useless for its remarkable and unprecedented progress, reshaping the landscape of technology and economy, and leading the future mainstream of technology system, all of which have profound impacts and positive influences. The identification of disruptive technology is a universally difficult task. Therefore, the paper aims to enhance the technical relevance of potential disruptive technology identification results and improve the granularity and effectiveness of potential disruptive technology identification topics. According to the life cycle theory, dividing the time stage, then constructing and analyzing the dynamic of technology networks to identify potential disruptive technology. Thereby, using the LDA topic model further to clarify the topic content of potential disruptive technologies. This paper takes the large civil UAVs as an example to prove the feas..., Through the analysis of the technology life cycle, the division of the patents, the construction of the technology network, the identification of nodes leaping, the clustering of technical topics, we aim to identify potential disruptive technology.
 

Procedures:

Knowledge flow: being familiar with the technical background knowledge in the field of large civil UAVs, and accomplishing the technical decomposition.
Invention patents: analyzing the technology life cycle by the loget lab to separate the invention patents into four parts. According to each part, constructing the IPC technical network and identifying the leapfrogging and diffusible nodes.
Technical topics: making use of the LDA model to cluster and explain the broad and various content of the inventions.

 

Testing:
Dividing the inventions of the embryonic stage into two groups and examining them by means of the Mann-Whitney test. Finally, the result shows the huge differences in the patent value, sustaining influence, and c..., , This README file was generated on 2023-11-25 by Mingli Ding.

GENERAL INFORMATION

1. Title of Dataset: **technical network in the field of large civilian UAVs**

2. Author Information

Investigators Contact Information
Name: Mingli Ding; Wangke Yu; Ran Li; Zhenzhen Wang; Jianing Li
Institution: Jingdezhen Ceramic University
Address: Jingdezhen, Jiangxi, China
Email:

1. Date of data collection:2005-2018

## DATA & FILE OVERVIEW

1. File List:

A)patent (2005-2008).csv

B)patents (2009-2012).csv

C)patents (2013-2015).csv

D)patents (2016-2018).csv

E)technical network (2005-2008).csv

F)technical network (2009-2012).csv

G)technical networks (2013-2015).csv

H)technical network (2016-2018).csv

### DATA-SPECIFIC INFORMATION FOR: patent (2005-2008).csv

1. Number of variables: 2

2. Number of cases/rows: 234

3. Variable List:

* source: the source of the edges in the technical network
* target: the target of the edges in the technical network

4\. Specialized fo...