New tool helps companies spot the key players hidden in complex networks
Researchers have released an updated web-based software called ViNCent 2.0 that identifies the most influential nodes in large, fast-changing networks — a capability companies need to optimize supply chains, detect fraud, and understand social influence. The tool handles multiple importance metrics simultaneously, making it practical for real-world data that includes time changes and multiple data types.
Originaltitel: Web-Based Visual Network Centrality Analysis for Multivariate and Temporal Networks with ViNCent 2.0
<p>Network data analyses addressing both the underlying graph structure and multivariate data attached to nodes and/or edges of such networks are important for a variety of research and application areas. Centrality analyses focus specifically on identification of important nodes in the network, with different and sometimes contradicting definitions of importance. To facilitate network analyses with multiple centrality algorithms, especially when applied to multivariate and temporal network data, interactive graph/network visualization approaches are key. The existing approaches typically do not address the requirement of supporting multiple centralities at once. In this paper, we report on extensions of our previous visual network analysis approach titled ViNCent, including a modern web-based implementation, support for multivariate and temporal network data, community analyses, and multiple interactive functions.</p>