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We consider a fitness model assumed to generate simple graphs with a power-law heavy-tailed degree sequence, P(k)[proportionality]k(-1-α) with 0<α<1, in which the corresponding distributions do not possess a mean. We discuss the situations in which the model is used to produce a multigraph and examine what happens if the multiple edges are merged to a(More)
We show that some important properties of subdiffusion of unknown origin (including ones of mixed origins) can be easily assessed when finding the "fundamental moment" of the corresponding random process, i.e., the one which is additive in time. In subordinated processes, the index of the fundamental moment is inherited from the parent process and its time(More)
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