CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling

Communication consists of both meta-information as well content. Currently, the automated analysis such data often focuses either on network aspects via social or content, utilizing methods from text-mining. However, first category approaches does not leverage rich content information, while latter ignores conversation environment and temporal evolution, evident in meta-information. In contradiction to communication research, which stresses importance a holistic approach, are rarely applied simultaneously, consequently, their combination has yet received enough attention systems. this work, we aim address challenge by discussing difficulties design decisions path contribute CommAID, blueprint for strategy analysis. It features an integrated visual analytics analyze networks through dynamics modeling, semantic pattern retrieval, user-adaptable problem-specific machine learning-based retrieval system. An interactive multi-level matrix-based visualization facilitates focused using inline visuals supporting cross-checks reducing context switches. We evaluate our approach case study formative evaluation with eight law enforcement experts real-world corpus. Results show that solution surpasses existing techniques terms integration level applicability. With contribution, pave more