
We analyze the lossless data compression scheme using antidictionary. Its principle is to build the dictionary of a set of words that do not occur in the text (minimal forbidden words). We prove here that the number of words in the antidictionary, i.e., minimum forbidden words, behaves asymptotically linearly in the length of the text under a memoryless model on the generation of texts. The linearity constant is explicited. We use methods from analytic combinatorics.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
