In this chapter, we will assume that detection and estimation went optimally, and focus on the next stage—analyzing and mining the time series data. We shall begin with exploring some well-known time series analysis methods, followed by a description of how they can be used in social multimedia signal landscape. Later in this chapter, we will discuss the Attention Automaton, a probabilistic finite automata that can estimate the collective attention of some user community.
CITATION STYLE
Roy, S. D., & Zeng, W. (2015). Following Signal Trajectories. In Social Multimedia Signals (pp. 73–93). Springer International Publishing. https://doi.org/10.1007/978-3-319-09117-4_7
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