The state of the art in visualizing dynamic multivariate networks
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 …
network is associated with various attributes and both the network structure and attributes …
A survey of scholarly data visualization
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 …
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
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 …
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 …
at an ever-increasing rate. This is leading to information overload: the scale and complexity …
Wandering between close and apart: are scholarly domains crossable?
Interdisciplinary collaborations, ie, scholarly crossdomain collaborations have generated
huge impact to society, and has been previously proved to exhibit domain skewness [20]. To …
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
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 …
tracking community evolution in temporal networks can uncover important and interesting …