Technology opportunity analysis using hierarchical semantic networks and dual link prediction

Z Liu, J Feng, L Uden - Technovation, 2023 - Elsevier
Technology opportunity analysis using network analysis and link prediction has attracted the
interest of both academia and industry. However, there are several unresolved issues with …

From technology opportunities to ideas generation via cross-cutting patent analysis: Application of generative topographic mapping and link prediction

Z Liu, J Feng, L Uden - Technological Forecasting and Social Change, 2023 - Elsevier
Technology opportunity analysis (TOA) with ideas generation has been recognized an
important activity to remain competitive and lead the industry in the future. However, there …

Exploring new digital therapeutics technologies for psychiatric disorders using BERTopic and PatentSBERTa

E Jeon, N Yoon, SY Sohn - Technological Forecasting and Social Change, 2023 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has accelerated the growth of the digital
therapeutics (DTx) market; therefore, development strategies for new DTx products are …

Exploring a technology ecology for technology opportunity discovery: A link prediction approach using heterogeneous knowledge graphs

J Choi, C Lee, J Yoon - Technological Forecasting and Social Change, 2023 - Elsevier
When a firm discovers and introduces new technology opportunities, it considers external
context, such as technological changes, as well as internal context of technology capability …

Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection

X Xi, J Zhao, L Yu, C Wang - Computers & Industrial Engineering, 2024 - Elsevier
To explore future opportunities for artificial intelligence (AI) in achieving carbon neutrality
goals, this study introduces a forecasting framework that combines link prediction and …

Identifying firm-specific technology opportunities in a supply chain: Link prediction analysis in multilayer networks

Y Wu, Y Ji, F Gu - Expert Systems with Applications, 2023 - Elsevier
Although technology opportunity discovery (TOD) for a target firm has considered the firm's
internal characteristics such as technological capabilities and R&D directions, the firm's …

Self-similar growth and synergistic link prediction in technology-convergence networks: The case of intelligent transportation systems

Y Xiu, K Cao, X Ren, B Chen, WK Chan - Fractal and Fractional, 2023 - mdpi.com
Self-similar growth and fractality are important properties found in many real-world networks,
which could guide the modeling of network evolution and the anticipation of new links …

Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis

J Choi, J Yoon - Journal of informetrics, 2022 - Elsevier
Although the incidence of knowledge exploration is observed in most patents, the concept of
knowledge exploration distance has been analyzed with limited patents at the macro level of …

A novel patent technology characterization method based on heterogeneous network message passing algorithm and patent classification system

ZX Chang, W Guo, L Wang, ZL Fu, J Ma… - Expert Systems with …, 2024 - Elsevier
Patents are widely recognized as important data for generating innovation. Accurate and
rational characterizing patent technology content is a prerequisite for applying innovation …

A multi-aspect neural tensor factorization framework for patent litigation prediction

H Wu, G Zhu, Q Liu, H Zhu, H Wang… - … Transactions on Big …, 2023 - ieeexplore.ieee.org
Patent litigation is an expensive and time-consuming legal process. To reduce costs,
companies can proactively manage patents using predictive analysis to identify potential …