[HTML][HTML] The science of science: From the perspective of complex systems
The science of science (SOS) is a rapidly developing field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …
quantify and predict scientific research and the resulting outcomes. The problem is …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
A bibliometric examination of the literature on emerging market MNEs as the basis for future research
BR Chabowski, S Samiee - Journal of Business Research, 2023 - Elsevier
We examine the literature on emerging market multinational enterprises (EMNEs) via
bibliometrics, with the goal of synthesizing the disparate definitions of multinationals from …
bibliometrics, with the goal of synthesizing the disparate definitions of multinationals from …
Predicting the pattern of technology convergence using big-data technology on large-scale triadic patents
Understanding technology convergence became crucial for pursuing innovation and
economic growth. This paper attempts to predict the pattern of technology convergence by …
economic growth. This paper attempts to predict the pattern of technology convergence by …
Early indicators of scientific impact: Predicting citations with altmetrics
Identifying important scholarly literature at an early stage is vital to the academic research
community and other stakeholders such as technology companies and government bodies …
community and other stakeholders such as technology companies and government bodies …
Understanding the effects of the textual complexity on government communication: Insights from China's online public service platform
L Lu, J Xu, J Wei - Telematics and Informatics, 2023 - Elsevier
While texts are the primary carriers of information for government decision making, few
studies have examined the role of textual complexity in government-citizen communication …
studies have examined the role of textual complexity in government-citizen communication …
Predicting scientific research trends based on link prediction in keyword networks
S Behrouzi, ZS Sarmoor, K Hajsadeghi, K Kavousi - Journal of Informetrics, 2020 - Elsevier
The rapid development of scientific fields in this modern era has raised the concern for
prospective scholars to find a proper research field to conduct their future studies. Thus …
prospective scholars to find a proper research field to conduct their future studies. Thus …
Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis
Topic evolution has been described by many approaches from a macro level to a detail
level, by extracting topic dynamics from text in literature and other media types. However …
level, by extracting topic dynamics from text in literature and other media types. However …
Recommending research collaborations using link prediction and random forest classifiers
R Guns, R Rousseau - Scientometrics, 2014 - Springer
We introduce a method to predict or recommend high-potential future (ie, not yet realized)
collaborations. The proposed method is based on a combination of link prediction and …
collaborations. The proposed method is based on a combination of link prediction and …
Prediction of link evolution using community detection in social network
Network evolution is one of the emerging research directions in the field of social network
analysis, where link prediction plays a crucial role in modeling network dynamics in social …
analysis, where link prediction plays a crucial role in modeling network dynamics in social …