Model of information diffusion
نویسنده
چکیده
At present, when scope and dynamics of the information publication in the Internet give all grounds to use the term information flows [1], to study their dynamics becomes urgent. The diversity in the behavior of publications according to various topics and the complexity of cross-impact of various publications prove the necessity to seek new methods which have not been known in this field before. Probably, at this stage in the sphere of modeling complicated information processes, a success can be made through the synthesis of quite simple algorithms and concepts. The theory of cellular automata, suggested by J. von Neiman over thirty years ago [2] and developed by S. Wolfram in a fundamental monograph [3] can be recognized as a promising one in this field. A cellular automaton is a discrete dynamic system, aggregate of similar cells connected with each other. All cells form a net of cellular automata. The condition of each cell is determined by that of the cells which are in its local vicinity/neighborhood. A set of its "nearest neighbors" is called the neighborhood of a finite automation with number j. The condition of j-cellular automation in the time moment t + 1 is defined in the following way: yj(t+1) = F(yj(t), O(j), t), (1)
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عنوان ژورنال:
- CoRR
دوره abs/0806.0283 شماره
صفحات -
تاریخ انتشار 2008