Abstract
The perspective of assessing a network’s complexity solely by means of its topology has been widely adopted and was highlighted in previous chapters. We now introduce a different point of view and emphasize the emergence of temporal complexity through the time intermittency of events in addition to the topological complexity entailed by the dynamics. As previously discussed an event is interpreted as a transition of a global variable from one critical state to another such as the average voting orthodoxy switching from Democrat to Republican.
For the theory-practice iteration to work, the scientist must be, as it were, mentally ambidextrous; fascinated equally on the one hand by possible meanings, theories, and tentative models to be induced from data and the practical reality of the real world, and on the other hand with the factual implications deducible from tentative theories, models and hypothesis…. George E. P. Box
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West, B.J., Turalska, M., Grigolini, P. (2014). Criticality and Crowds. In: Networks of Echoes. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-04879-6_4
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