Abstract
Network analytics provides a scientific solution to interact with networks through effective management of network data and corresponding visualization. Network analytics has been considered essential in many research areas as well as in commercial applications, including use cases in bioinformatics, biomedicine, security, social science, and knowledge graph exploration. We see that networks and the associated analysis process are expected to be initially supported by graph databases with advanced query engines, and later the filtered contents are rendered using corresponding visualization approaches for better communication and knowledge exchange. For this special issue (SI), we recruited papers describing research based on graph database utilization and network visualization that potentially could be integrated as a full pipeline, as well as their synergy for various applied problems. Through the formal IEEE Computer Graphics and Applications review process of the four submissions, we accepted three papers for this SI, focusing on the novelty and potential integration within the network analytics pipeline. These selected papers demonstrate the wide potentiality of techniques for complex network analytics.
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