The state of the art in visualizing dynamic multivariate networks

B Kale, M Sun, ME Papka - Computer Graphics Forum, 2023 - Wiley Online Library
Most real‐world networks are both dynamic and multivariate in nature, meaning that the
network is associated with various attributes and both the network structure and attributes …

A survey of scholarly data visualization

J Liu, T Tang, W Wang, B Xu, X Kong, F Xia - Ieee Access, 2018 - ieeexplore.ieee.org
Scholarly information usually contains millions of raw data, such as authors, papers,
citations, as well as scholarly networks. With the rapid growth of the digital publishing and …

[HTML][HTML] Leveraging citation networks to visualize scholarly influence over time

J Portenoy, J Hullman, JD West - Frontiers in Research Metrics and …, 2017 - frontiersin.org
Assessing the influence of a scholar's work is an important task for funding organizations,
academic departments, and researchers. Common methods, such as measures of citation …

[图书][B] Harnessing scholarly literature as data to curate, explore, and evaluate scientific research

J Portenoy - 2021 - search.proquest.com
There currently exist hundreds of millions of scientific publications, with more being created
at an ever-increasing rate. This is leading to information overload: the scale and complexity …

Wandering between close and apart: are scholarly domains crossable?

H Wang, L Kong, L Fu, X Wang - Proceedings of the ACM Turing …, 2019 - dl.acm.org
Interdisciplinary collaborations, ie, scholarly crossdomain collaborations have generated
huge impact to society, and has been previously proved to exhibit domain skewness [20]. To …

Community detection in temporal citation network via a tensor-based approach

T Gao, R Pan, J Zhang, H Wang - Statistics and Its Interface, 2024 - intlpress.com
In the era of big data, network analysis has attracted widespread attention. Detecting and
tracking community evolution in temporal networks can uncover important and interesting …