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Empirical analysis on temporal statistics of human correspondence patterns |
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| Authors: | Nan-Nan Li Tao Zhou |
| Affiliation: | a Business School, University of Shanghai for Science and Technology, Shanghai 200093, PR China b Department of Modern Physics, University of Science and Technology of China, Hefei 230026, PR China c Department of Physics, University of Fribourg, 1700 Fribourg, Switzerland |
| Abstract: | Recently, extensive empirical evidence shows that the timing of human behaviors obeys non-Possion statistics with heavy-tailed interevent time distribution. In this paper, we empirically study the correspondence pattern of a great Chinese scientist, named Hsue-Shen Tsien. Both the interevent time distribution and response time distributions deviate from the Poisson statistics, showing an approximate power-law decaying. The two power-law exponents are more or less the same (about 2.1), which strongly support the hypothesis in [A. Vázquez, J.G. Oliveira, Z. Dezsö, K.-I. Goh, I. Kondor, A.-L. Barabási, Phys. Rev. E 73 (2006) 036127] that the response time distribution of the tasks could in fact drive the interevent time distribution, and both the two distributions should decay with the same exponent. Our result is against the claim in [A. Vázquez, J.G. Oliveira, Z. Dezsö, K.-I. Goh, I. Kondor, A.-L. Barabási, Phys. Rev. E 73 (2006) 036127], which suggests the human correspondence pattern belongs to a universality class with exponent 1.5. |
| Keywords: | Human dynamics Correspondence patterns Burstiness Power-law distribution |
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