Abstract A model is proposed to describe the competition between two kinds of information among N random-walking individuals in an LL square, starting from a half-and-half mixture of two kinds of information. Individuals remain or change their information according to their neighbors' information. When the moving speed of individuals v is zero, the two kinds of information typically coexist, and the ratio between them increases with L and decreases with N. In the dynamic case (v>0), only one information eventually remains, and the time required for one information being left scales as Td～vLβN.
Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61173183, 60973152, and 60573172), the Superior University Doctor Subject Special Scientific Research Foundation of China (Grant No. 20070141014), and the Natural Science Foundation of Liaoning Province of China (Grant No. 20082165).
Corresponding Authors:
Liu Zhen-Zhen,zhzhenliu@gmail.com
E-mail: zhzhenliu@gmail.com
Cite this article:
Liu Zhen-Zhen(刘真真), Wang Xing-Yuan(王兴元), and Wang Mao-Ji(王茂基) Competition between two kinds of information among random-walking individuals 2012 Chin. Phys. B 21 048902
[1]
Pethel S D, Corron N J, Underwood Q R and Myneni K 2003 Phys. Rev. Lett. 90 254101
[2]
Wang M, Wang X, Liu Z and Zhang H 2011 Chaos 21 013107
[3]
Zhang H, Ma T, Huang G and Wang Z 2010 IEEE Trans. Syst., Man Cybern. B 40 831
[4]
Wei D, Luo X and Zhang B 2011 Acta Phys. Sin. 60 128903 (in Chinese)
[5]
Zhang H, Gong D and Wang Z 2011 Chin. Phys. B 20 040512
[6]
Si X and Liu Y 2011 Acta Phys. Sin. 60 078903 (in Chinese)
[7]
Zhang H, Liu Z and Huang G 2010 IEEE Trans. Syst., Man Cybern. B 40 1480
[8]
Moreno Y, Nekovee M and Pacheco A F 2004 Phys. Rev. E 69 066130
[9]
Llas M, Gleiser P M, López J M and D'hiaz-Guilera A 2003 Phys. Rev. E 68 066101
[10]
Wu F, Huberman B A, Adamic L A and Tyler J R 2004 Physica A 337 327
[11]
Funk S, Gilad E, Watkins C and Jansen V A A 2009 Proc. Natl. Acad. Sci. USA 106 6872
[12]
Herrero C P 2002 Phys. Rev. E 66 046126
[13]
Lind P G, Da Silva L R, Andrade Jr J S and Herrmann H J 2007 Phys. Rev. E 76 036117
[14]
Huang L, Park K and Lai Y C 2006 Phys. Rev. E 73 035103(R)
[15]
Schwarzkopf Y, R醟os A and Mukamel D 2010 Phys. Rev. E 82 036112
[16]
Agliari E, Burioni R, Cassi D and Neri F M 2006 Phys. Rev. E 73 046138
[17]
Agliari E, Burioni R, Cassi D and Neri F M 2007 Phys. Rev. E 75 021119
[18]
Adler F R and Gordon D M 1992 Am. Nat. 140 373
[19]
Kim Y A, Przytycki J H, Wuchty S and Przytycka T M 2011 Phys. Biol. 8 035012
[20]
Trpevski D, Tang W K S and Kocarev L 2010 Phys. Rev. E 81 056102
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