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A mass of traces of human activities show rich dynamic patterns. In thisarticle, we comprehensively investigate the dynamic patterns of 50 thousands ofresearchers' activities in Sciencenet, the largest multi-disciplinary academiccommunity in China. Through statistical analyses, we found that (i) thereexists a power-law scaling between the frequency of visits to an academic forumand the number of corresponding visitors, with the exponent being about 1.33;(ii) the expansion process of academic forums obeys the Heaps' law, namely thenumber of distinct visited forums to the number of visits grows in a power-lawform with exponent being about 0.54; (iii) the probability distributions oftime intervals and the number of visits taken to revisit the same academicforum both follow power-laws, indicating the existence of memory effect inacademic forum activities. On the basis of these empirical results, we proposea dynamic model that incorporates the exploration, preferential return andmemory effect, which can well reproduce the observed scaling laws.

Dynamic Patterns of Academic Forum Activities