Diffusion of 3D Printing Technology

2019 ◽  
Vol 9 (3) ◽  
pp. 33-47
Author(s):  
Başak Özdemir ◽  
Kemal Yayla ◽  
Serhat Burmaoğlu
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
3D Printing ◽  
Technological Innovation ◽  
Scientific Knowledge ◽  
Plastic State ◽  
Historical Evolution ◽  
Printing Technology ◽  
3D Printing Technology

3D printing technology has been perceived as a disruptive technological innovation in many areas as it can revolutionize existing systems. It has many potential advantages in various areas such as medicine, aerospace and customized goods in terms of integrity, cost and speed. This study aims to visualize the evolution of 3D printing technology related patents by patent mapping, in the process, diffusion of 3D printing technologies to different business fields can be traced and evaluated. Patents represent the scientific knowledge that has been already commercialized or is ready to be marketed. The historical evolution and current framework have been demonstrated by using social network analysis on CPC codes of the related patents. Results of the study suggest that most technologies connected with 3D printing depend on B29C (shaping or joining of plastics; shaping of substances in a plastic state, in general; after-treatment of the shaped products, e.g., repairing.).

The historical evolution and basic concepts of social network analysis

2005 ◽  
Vol 2005 (107) ◽  
pp. 15-23 ◽  
Author(s):  
Kimberly A. Fredericks ◽  
Maryann M. Durland
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Historical Evolution ◽  
Basic Concepts

Richard Thomas Lowe (1802–1874) and his correspondence networks: botanical exchanges from Madeira

2021 ◽  
Vol 48 (2) ◽  
pp. 377-395
Author(s):  
S. Mesquita ◽  
M. Menezes De Sequeira ◽  
C. Castel-Branco
Keyword(s):  
United Kingdom ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Knowledge ◽  
Scientific Communication ◽  
Natural Sciences ◽  
The United Kingdom ◽  
Correspondence Networks

The growth of scientific knowledge in the natural sciences in the nineteenth century to a large extent depended on networking and communication between naturalists. Our case-study illustrates such forms of scientific communication using a social network analysis (SNA) approach for studying the relationships of the Reverend Richard Thomas Lowe, an English naturalist who lived in Madeira from 1826 to 1852, and continued to visit until his death in a shipwreck in 1874. During his lifetime, he established a network of contacts mainly in the United Kingdom and in Madeira, which enabled him to develop and publish his pioneering work on the local flora, including A manual flora of Madeira and the adjacent islands of Porto Santo and the Desertas.

Social network analysis of an emerging innovation: direct-to-garment printing technology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yanan Yu ◽  
Marguerite Moore ◽  
Lisa P. Chapman
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computational Technique ◽  
Fashion Industry ◽  
Printing Technology ◽  
Content Type ◽  
Context Specific ◽  
Insight Into

PurposeThe study primarily aims to examine an emerging fashion technology, direct-to-garment (DTG) printing, using data mining-driven social network analysis (SNA). Simultaneously, the study also demonstrates application of a group novel computational technique to capture, analyze and visually depict data for strategic insight into the fashion industry.Design/methodology/approachA total of 5,060 tweets related to DTG were captured using Crimson Hexagon. Python and Gephi were applied to convert, calculate and visualize the yearly networks for 2016–2019. Based on graph theory, degree centrality and betweenness centrality indices guide interpretation of the outcome networks.FindingsThe findings reveal insights into DTG printing technology networks through identification of interrelated indicators (i.e. nodes, edges and communities) over time. Deeper interpretation of the dominant indicators and the unique changes within each of the DTG communities were investigated and discussed.Practical implicationsThree SNA models suggest directions including the dominant apparel categories for DTG application, competing alternatives for apparel decorating approaches to DTG and growing market niches for DTG. Interpretation of the yearly networks suggests evolution of this domain over the investigation period.Originality/valueThe social media based, data mining-driven SNA method provides a novel path and a powerful technique for scholars and practitioners to investigate information among complex, abstract or novel topics such as DTG. Context specific findings provide initial insight into the evolving competitive structures driving DTG in the fashion market.

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