Academic social networks: Modeling, analysis, mining and applications

X Kong, Y Shi, S Yu, J Liu, F **a - Journal of Network and Computer …, 2019 - Elsevier
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 …

A survey of information cascade analysis: Models, predictions, and recent advances

F Zhou, X Xu, G Trajcevski, K Zhang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
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 …

Measuring the evolution of a scientific field through citation frames

D Jurgens, S Kumar, R Hoover, D McFarland… - Transactions of the …, 2018 - direct.mit.edu
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 …

Modeling and predicting popularity dynamics via reinforced poisson processes

H Shen, D Wang, C Song, AL Barabási - Proceedings of the AAAI …, 2014 - ojs.aaai.org
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 …

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 …

Early indicators of scientific impact: Predicting citations with altmetrics

AP Akella, H Alhoori, PR Kondamudi, C Freeman… - Journal of …, 2021 - Elsevier
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 …

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 …

Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data

X Li, Y Wen, J Jiang, T Daim, L Huang - Technological Forecasting and …, 2022 - Elsevier
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 …

Will This Paper Increase Your h-index? Scientific Impact Prediction

Y Dong, RA Johnson, NV Chawla - … conference on web search and data …, 2015 - dl.acm.org
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 …

[HTML][HTML] Identifying breakthrough scientific papers

P Savov, A Jatowt, R Nielek - Information Processing & Management, 2020 - Elsevier
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 …