Abstract Background and Objective: The agent abstraction is a powerful one, developed
decades ago to represent crucial aspects of artificial intelligence research. The meaning has …

We present Clustering and Lineage Inference in Single-Cell Transcriptional Analysis
(CALISTA), a numerically efficient and highly scalable toolbox for an end-to-end analysis of …

Finding important scientific results in the actual glut of information have never been more
challenging. In the context of digital scientific libraries, there is a gap in the design of …

Graph layouts reveal global or local structures of graph data. However, there are few studies
on assisting readers in better reconstructing a graph from a layout. This paper attempts to …

The visual representation of a graph is crucial in understanding and analyzing its properties.
In this empirical study, we examine the effect of different drawing layouts on our perception …

The connections in a graph generate a structure that is independent of a coordinate system.
This visual metaphor allows creating a more flexible representation of data than a two …

Researchers are always trying to get the most important knowledge, however, finding
accurate results in the current science deluge have never been more critical than now. While …

For accurately analysing and forecasting the social networks of China's political, economic
and social power elites, it is necessary to develop a database that collates their information …

This book of 21 chapters shares endeavors associated to the human trait of creative
expression within, across, and between digital media in wide-ranging contexts making the …

The traditional force-directed layout algorithm has a large variation in effect after data
visualization, which affects the display effect after data visualization. Accordingly, an artificial …