Academic social networks: Modeling, analysis, mining and applications
In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …
aroused widespread attention in academia and industry. The concept of academic social …
A survey of information cascade analysis: Models, predictions, and recent advances
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …
microblogs and scientific papers, to online business, such as viral marketing and advertising …
Measuring the evolution of a scientific field through citation frames
Citations have long been used to characterize the state of a scientific field and to identify
influential works. However, writers use citations for different purposes, and this varied …
influential works. However, writers use citations for different purposes, and this varied …
Modeling and predicting popularity dynamics via reinforced poisson processes
An ability to predict the popularity dynamics of individual items within a complex evolving
system has important implications in an array of areas. Here we propose a generative …
system has important implications in an array of areas. Here we propose a generative …
Predicting citation counts based on deep neural network learning techniques
A Abrishami, S Aliakbary - Journal of Informetrics, 2019 - Elsevier
With the growing number of published scientific papers world-wide, the need to evaluation
and quality assessment methods for research papers is increasing. Scientific fields such as …
and quality assessment methods for research papers is increasing. Scientific fields such as …
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 …
Utilizing citation network structure to predict paper citation counts: A deep learning approach
Q Zhao, X Feng - Journal of Informetrics, 2022 - Elsevier
With the advancement of science and technology, the number of academic papers
published each year has increased almost exponentially. While a large number of research …
published each year has increased almost exponentially. While a large number of research …
Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data
Breakthrough research may signal shifts in science, technology, and innovation systems.
Early identification of breakthrough research is important not only for scientists, but also for …
Early identification of breakthrough research is important not only for scientists, but also for …
Will This Paper Increase Your h-index? Scientific Impact Prediction
Scientific impact plays a central role in the evaluation of the output of scholars, departments,
and institutions. A widely used measure of scientific impact is citations, with a growing body …
and institutions. A widely used measure of scientific impact is citations, with a growing body …
[HTML][HTML] Identifying breakthrough scientific papers
Citation analysis does not tell the whole story about the innovativeness of scientific papers.
Works by prominent authors tend to receive disproportionately many citations, while …
Works by prominent authors tend to receive disproportionately many citations, while …