Social network analysis helps analysts to study the relationships among different nodes of a
network and get valuable insights. The common output of social networks analysis is …

This paper presents our work in mapping the design space of techniques for temporal graph
visualisation. We identify two independent dimensions upon which the techniques can be …

This article consists of a collection of slides from the author's conference presentation on the
special features, system design, processing capabilities, and targeted markets for Xilinz's …

摘要在调研国内外社会网络可视化研究相关文献的基础上, 介绍可视化和社会网络分析相关研究
背景, 总结社会网络可视化的技术方法: 静态表示方法和动态交互方法, 及其典型工具 …

Abstract Following the Deepwater Horizon oil spill on April 20, 2010, information was widely
broadcast through social media platforms such as Twitter. This study aimed to gain insights …

Ego-network is built with a specific individual, ie, the ego, and individuals connected to it, ie,
alter. As an abstraction of connection between individual and outside world, it usually has …

Analysis of criminal activity based on offenders' social networks is an established procedure
in intelligence analysis. The complexity of the data poses an obstacle for analysts to gauge …

In this paper a sufficient condition is given for minimal routing in n-dimensional (nD) meshes
with faulty nodes contained in a set of disjoint fault regions. It is based on an early work of …

Social network emanates from socially interacting entities that are represented as nodes
with identical properties. These nodes are interconnected through different forms of …

Visualising how social networks evolve is important in intelligence analysis in order to detect
and monitor issues, such as emerging crime patterns or rapidly growing groups of offenders …