SHANG Ming-Sheng1, CHEN Guan-Xiong2, DAI Shuang-Xing2, WANG Bing-Hong2,3, ZHOU Tao1,2,4
1Web Sciences Center, School of Computer Science andEngineering, University of Electronic Science and Technology of China,Chengdu 6100542Department of Modern Physics, University of Science and Technologyof China, Hefei 2300263The Research Center for Complex System Science, University ofShanghai for Science and Technology, Shanghai 2000934Department of Physics, University of Fribourg, Chemin du Mus\'ee 3,1700 Fribourg, Switzerland
Interest-Driven Model for Human Dynamics
SHANG Ming-Sheng1, CHEN Guan-Xiong2, DAI Shuang-Xing2, WANG Bing-Hong2,3, ZHOU Tao1,2,4
1Web Sciences Center, School of Computer Science andEngineering, University of Electronic Science and Technology of China,Chengdu 6100542Department of Modern Physics, University of Science and Technologyof China, Hefei 2300263The Research Center for Complex System Science, University ofShanghai for Science and Technology, Shanghai 2000934Department of Physics, University of Fribourg, Chemin du Mus\'ee 3,1700 Fribourg, Switzerland
Empirical observations indicate that the interevent time distribution of human actions exhibits heavy-tailed features. The queuing model based on task priorities is to some extent successful in explaining the origin of such heavy tails, however, it cannot explain all the temporal statistics of human behavior especially for the daily entertainments. We propose an interest-driven model, which can reproduce the power-law distribution of interevent time. The exponent can be analytically obtained and is in good accordance with the simulations. This model well explains the observed relationship between activities and power-law exponents, as reported recently for web-based behavior and the instant message communications.
Empirical observations indicate that the interevent time distribution of human actions exhibits heavy-tailed features. The queuing model based on task priorities is to some extent successful in explaining the origin of such heavy tails, however, it cannot explain all the temporal statistics of human behavior especially for the daily entertainments. We propose an interest-driven model, which can reproduce the power-law distribution of interevent time. The exponent can be analytically obtained and is in good accordance with the simulations. This model well explains the observed relationship between activities and power-law exponents, as reported recently for web-based behavior and the instant message communications.
SHANG Ming-Sheng;CHEN Guan-Xiong;DAI Shuang-Xing;WANG Bing-Hong;ZHOU Tao;. Interest-Driven Model for Human Dynamics[J]. 中国物理快报, 2010, 27(4): 48701-048701.
SHANG Ming-Sheng, CHEN Guan-Xiong, DAI Shuang-Xing, WANG Bing-Hong, ZHOU Tao,. Interest-Driven Model for Human Dynamics. Chin. Phys. Lett., 2010, 27(4): 48701-048701.
[1] Caldarelli G, Marsili M and Zhang Y C 1997 Europhys. Lett. 40 479 [2] Mainardi F, Raberto M, Gorenflo R and Scalas E 2000 Physica A 287 468 [3] Plerou V, Gopikrishman P, Amaral L A N, Gabaix X and Stanley H E 2000 Phys. Rev. E 62 3023 [4] Henderson T and Nhatti S 2001 Proceedings of the 9th ACM International Conference on Multimetia (New York: ACM Press) p 212 [5] Masoliver J, Montero M and Weiss G H 2003 Phys. Rev. E 67 021112 [6] Scalas E, Gorenflo R, Luckock H, Mainardi H, Mantelli M and Raberto M 2004 Quant. Finance 4 695 [7] Kaizoji T and Kaizoji M 2004 Physica A 336 563 [8] Scalas E, Kaizoji T, Kirchler M, Huber J and Tedeschi A 2006 Physica A 366 463 [9] Eckmann J P, Moses E and Sergi D 2004 Proc. Natl. Acad. Sci. U.S.A. 101 14333 [10] Barabási A L 2005 Nature 435 207 [11] Oliveira J G and Barabási A L 2005 Nature 437 1251 [12] Vázquez A, Oliveira J G, DezsöZ, Goh K I, Kondor I and Barabási A L 2006 Phys. Rev. E 73 036127 [13] Dezsö Z, Almaas E, Lukács A, Rácz B, Szakadát I and Barabási A L 2006 Phys. Rev. E 73 066132 [14] Zhou T, Kiet H A T, Kim B J, Wang B H and Holme P 2008 Europhys. Lett. 82 28002 [15] Li N N, Zhang N and Zhou T 2008 Physica A 387 6391 [16] Gonςalves B and Ramasco J J 2008 Phys. Rev. E 78 026123 [17] Hong W, Han X P, Zhou T and Wang B H 2009 Chin. Phys. Lett. 26 028902 [18] Radicchi F 2009 Phys. Rev. E 80 026118 [19] Barabási A L 2007 IEEE Control Systems Magazine 27 33 [20] Zhou T, Han X P and Wang B H 2008 Science Matters: Humanities as Complex Systems ed Burguete M and Lam L (Singapore: World Scientific Publishing) p 207 [21] V\'azquez A 2005 Phys. Rev. Lett. 95 248701 [22] Han X P, Zhou T and Wang B H 2008 New J. Phys. 10 073010 [23] Goldstein M L, Morris S A and Yen G G 2004 Eur. Phys. J. B 41 255 [24] Newman M E J 2005 Contemp. Phys. 46 323 [25] Vázquez A 2007 Physica A 373 747 [26] Goh K I and Barabasi A L 2008 Europhys. Lett. 81 48002
2010, Vol. 27 
