作者: Matthias Trier
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摘要: The capabilities offered by digital communication are leading to the evolution of new network structures that grounded in patterns. As these significant for organizations, much research has been devoted understanding dynamics ongoing processes electronic communication. A valuable method this objective is Social Network Analysis. However, its current focus on quantifying and interpreting aggregated static relationship suffers from some limitations domain analyzing online with high volatility massive exchange timed messages. To overcome limitations, paper presents a event-based dynamic visualization analysis together exploratory social intelligence software Commetrix. Based longitudinal data corporate email communication, demonstrates how exploration animated graphs combined measuring temporal changes identifies measurement artifa...