-
From the perspective of physics, evolution of group opinion can be regarded as the collective effect of the state change of opinion particles. It is similar to a material particle system that there is usually a dynamic criticality in the opinion state transition of a group, and is dominated by a scaling law. To exhibit this phenomenon, a bistable potential field is introduced to mimic the opinion transition by the jump from one stable state to the other. In this investigation, we will focus on the state change of the opinion particles induced by the noise. The time correlation function and the relaxation time describing drive-response relationship are calculated, by using of the generalized Laguerre weight complete set of orthogonal functions method, to reveal the regularity and the relative mechanism governing the state change of the opinion particle confined by the bistable potential and affected by the noise. The results indicate that there is a critical value Dc for noise intensity. When the noise intensity is greater than Dc, the time correlation function will increase exponentially with correlation time τ. There also are two points at which the dependence of the relaxation time on the noise intensity/aspect ratio of the energy barrier are divergent. The divergence implies that the state transition of opinion particles cannot be achieved. It is worth noting that there is a linear relationship between the relaxation time and the aspect ratio of energy barrier. This relation means that there is a drive-response relationship for opinion particles in the bistable potential field just like the Newton’s second law, in which the time relaxation plays the role of quasi-inertia. This result also implies another important conclusion that the energy and information may be equated due to the fact that the opinion particle transiting from one stable state to the other needs obtaining energy to climb over the barrier, and from another point of view, the transition can be regarded as the opinion particle having been obtaining information via the noise correlation. These investigations may provide us with new understandings to the evolution of group opinion.
-
Keywords:
- opinion space /
- Laguerre function /
- relaxation time /
- drive-response relationship
[1] Wang P, Song J, Huo J, Hao R, Wang X M 2017 Int. J. Mod. Phys. C 28 1750135
Google Scholar
[2] 刘巧玲, 李劲, 肖人斌 2017 计算机应用 37 1419
Google Scholar
Liu Q L, Li J, Xiao R B 2017 J. Comp. Appl. 37 1419
Google Scholar
[3] Ding Z J, Sun X Y, Wang B H 2012 Proc. Eng. 31 1072
Google Scholar
[4] Weidlich W 1971 Br. J. Math. Statist. Psychol. 24 251
Google Scholar
[5] Galam S, Gefen Y, Shapir Y 1982 J. Math. Sociol. 9 1
Google Scholar
[6] Galam S, Moscovici S 1991 Eur. J. Soc. Psychol. 21 49
Google Scholar
[7] Axelrod R 1997 J. Confl. Resolut. 41 203
Google Scholar
[8] Wichmann S 2008 Lang. Linguist. Compass. 2 442
Google Scholar
[9] Helbing D 2001 Rev. Mod. Phys. 73 1067
Google Scholar
[10] Newman M E J 2002 Phys. Rev. E 66 035101
[11] 封晨洁, 王鹏, 王旭明 2015 物理学报 64 030502
Google Scholar
Feng C J, Wang P, Wang X M 2015 Acta Phys. Sin. 64 030502
Google Scholar
[12] Wang P, Pan F C, Huo J, Wang X M 2019 arXiv:1909.04220
[13] Wang P, Pan F C, Huo J, Wang X M 2019 arXiv:1909.04208
[14] Helbing D, Molnár P 1995 Phys. Rev. E 51 4282
Google Scholar
[15] Helbing D 1994 J. Math. Sociol. 19 189
Google Scholar
[16] Helbing D, Farkas I, Vicsek T 2000 Nature 407 487
Google Scholar
[17] Castellano C, Marsili M, Vespignani A 2000 Phys. Rev. Lett. 85 3536
Google Scholar
[18] Sznajd-Weron K, Sznajd J 2000 Int. J. Mod. Phys. C 11 1157
Google Scholar
[19] Stauffer D, Sousa A O, de Oliveira S M 2000 Int. J. Mod. Phys. C 11 1239
Google Scholar
[20] Sznajd-Weron K, Weron R 2002 Int. J. Mod. Phys. C 13 115
Google Scholar
[21] Sznajd-Weron K, Sznajd J 2005 Physica A 351 593
Google Scholar
[22] Comincioli V, Della Croce L, Toscani G 2009 Kin. Rel. Mod. 2 135
Google Scholar
[23] Galam S 2005 Phys. Rev. E 71 046123
Google Scholar
[24] Kimizuka M, Munakata T, Rosinberg M L 2010 Phys. Rev. E 82 041129
Google Scholar
[25] Nyczka P, Cisło J, Sznajd-Weron K 2012 Physica A 391 317
Google Scholar
[26] de la Lama M S, Szendro I G, Iglesias J R, Wio H S 2006 European. Phys. J. B 51 435
[27] Risken H 1984 The Fokker-Planck Equation: Methods of Solution and Applications (2nd Ed.) (New York: Springer-Verlag Berlin Heidelberg) pp196−275
[28] Graham R, Schenzle A 1982 Phys. Rev. A 26 1676
Google Scholar
[29] Huber D, Tsimring L S 2003 Phys. Rev. Lett. 91 260601
Google Scholar
[30] Lett P, Short R, Mandel L 1984 Phys. Rev. Lett. 52 341
Google Scholar
[31] Sancho J M, San Miguel M, Katz S L, Gunton J D 1982 Phys. Rev. A 26 1589
Google Scholar
[32] Landauer R 1961 IBM J. Res. Dev. 5 183
Google Scholar
[33] Bennett C H 1982 Int. J. Theor. Phys. 21 905
Google Scholar
[34] Dahlsten O C O 2013 Entropy 15 5346
Google Scholar
-
图 1 不同势垒高度下的双稳态广义势
Figure 1. Bistable generalized potential with different barrier heights.
图 2 在确定势垒高度的纵横比(
$\gamma =0.2$ )情形下, 时间关联函数对关联时间长度的依赖关系 (a) 若噪声强度$D < {D_{\rm{c}}}$ , 关联函数呈单峰形式, 当$D\to D_c$ , 时间关联函数至时间关联长度$\tau =2.4$ 时达到确定值$ {\varPhi _x}(\tau \geqslant 2.4) \to 1.3$ ; (b) 若噪声强度$D>{D_{\rm{c}}}$ , 时间关联函数对关联时间长度呈指数关系,$ {\varPhi _x}(\tau ) \propto {{\rm{e}}^{ - {k_{\rm{e}}}\tau }} $ Figure 2. Time correlation function with different aspect ratios of energy barrier: (a) When
$D<{D_{\rm{c}}}$ , the correlation function presents single peak; when$D \to {D_{\rm{c}}}$ and time correlation length$\tau=2.4$ , the time correlation function tends to 1.3; (b) when$D>{D_{\rm{c}}}$ , time correlation function increases with time correlation length exponentially,${\varPhi _x}(\tau ) \propto {{\rm{e}}^{ - {k_{\rm{e}}}\tau }}$ .
图 3 (a) 在不同的噪声强度情形下, 弛豫时间对势垒深度纵横比的依赖关系; (b) 在不同纵横比情形下, 弛豫时间对噪声强度的依赖关系
Figure 3. (a) Dependence of relaxation time on aspect ratio of energy barrier under different noise intensities; (b) dependence of relaxation time on noise intensity under different aspect ratios of energy barrier.
图 4 蓝色点连成的线为
$\left\{ {{{\left. {({D_{\rm{s}}}, {\gamma _{\rm{s}}})} \right|}_{{\gamma _{\rm{s}}} = \frac{2}{3}\sqrt {D_{\rm{s}}^3/3} }}} \right\}$ , 红色圈连成的线表示临界条件$\left\{ {{{\left. {({D_{\rm{s}}}, {\gamma _{\rm{s}}})} \right|}_{\langle {{x^2}} \rangle - {{\langle x \rangle }^2} = 0}}} \right\}$ Figure 4. Dotted blue line shows the critical condition of
$\left\{ {{{\left. {({D_{\rm{s}}}, {\gamma _{\rm{s}}})} \right|}_{{\gamma _{\rm{s}}} = \frac{2}{3}\sqrt {D_{\rm{s}}^3/3} }}} \right\}$ , red circle line presents the critical condition$\left\{ {{{\left. {({D_{\rm{s}}}, {\gamma _{\rm{s}}})} \right|}_{\langle {{x^2}} \rangle - {{\langle x \rangle }^2} = 0}}} \right\}$ .
图 5 (a) 弛豫时间与噪声强度间呈线性依赖关系; (b) 关联系数与纵横比间呈线性依赖关系
$ Figure 5. (a) Relaxation time depends linearly on noise intensity; (b) correlation coefficient depends linearly on aspect ratio of energy barrier.
-
[1] Wang P, Song J, Huo J, Hao R, Wang X M 2017 Int. J. Mod. Phys. C 28 1750135
Google Scholar
[2] 刘巧玲, 李劲, 肖人斌 2017 计算机应用 37 1419
Google Scholar
Liu Q L, Li J, Xiao R B 2017 J. Comp. Appl. 37 1419
Google Scholar
[3] Ding Z J, Sun X Y, Wang B H 2012 Proc. Eng. 31 1072
Google Scholar
[4] Weidlich W 1971 Br. J. Math. Statist. Psychol. 24 251
Google Scholar
[5] Galam S, Gefen Y, Shapir Y 1982 J. Math. Sociol. 9 1
Google Scholar
[6] Galam S, Moscovici S 1991 Eur. J. Soc. Psychol. 21 49
Google Scholar
[7] Axelrod R 1997 J. Confl. Resolut. 41 203
Google Scholar
[8] Wichmann S 2008 Lang. Linguist. Compass. 2 442
Google Scholar
[9] Helbing D 2001 Rev. Mod. Phys. 73 1067
Google Scholar
[10] Newman M E J 2002 Phys. Rev. E 66 035101
[11] 封晨洁, 王鹏, 王旭明 2015 物理学报 64 030502
Google Scholar
Feng C J, Wang P, Wang X M 2015 Acta Phys. Sin. 64 030502
Google Scholar
[12] Wang P, Pan F C, Huo J, Wang X M 2019 arXiv:1909.04220
[13] Wang P, Pan F C, Huo J, Wang X M 2019 arXiv:1909.04208
[14] Helbing D, Molnár P 1995 Phys. Rev. E 51 4282
Google Scholar
[15] Helbing D 1994 J. Math. Sociol. 19 189
Google Scholar
[16] Helbing D, Farkas I, Vicsek T 2000 Nature 407 487
Google Scholar
[17] Castellano C, Marsili M, Vespignani A 2000 Phys. Rev. Lett. 85 3536
Google Scholar
[18] Sznajd-Weron K, Sznajd J 2000 Int. J. Mod. Phys. C 11 1157
Google Scholar
[19] Stauffer D, Sousa A O, de Oliveira S M 2000 Int. J. Mod. Phys. C 11 1239
Google Scholar
[20] Sznajd-Weron K, Weron R 2002 Int. J. Mod. Phys. C 13 115
Google Scholar
[21] Sznajd-Weron K, Sznajd J 2005 Physica A 351 593
Google Scholar
[22] Comincioli V, Della Croce L, Toscani G 2009 Kin. Rel. Mod. 2 135
Google Scholar
[23] Galam S 2005 Phys. Rev. E 71 046123
Google Scholar
[24] Kimizuka M, Munakata T, Rosinberg M L 2010 Phys. Rev. E 82 041129
Google Scholar
[25] Nyczka P, Cisło J, Sznajd-Weron K 2012 Physica A 391 317
Google Scholar
[26] de la Lama M S, Szendro I G, Iglesias J R, Wio H S 2006 European. Phys. J. B 51 435
[27] Risken H 1984 The Fokker-Planck Equation: Methods of Solution and Applications (2nd Ed.) (New York: Springer-Verlag Berlin Heidelberg) pp196−275
[28] Graham R, Schenzle A 1982 Phys. Rev. A 26 1676
Google Scholar
[29] Huber D, Tsimring L S 2003 Phys. Rev. Lett. 91 260601
Google Scholar
[30] Lett P, Short R, Mandel L 1984 Phys. Rev. Lett. 52 341
Google Scholar
[31] Sancho J M, San Miguel M, Katz S L, Gunton J D 1982 Phys. Rev. A 26 1589
Google Scholar
[32] Landauer R 1961 IBM J. Res. Dev. 5 183
Google Scholar
[33] Bennett C H 1982 Int. J. Theor. Phys. 21 905
Google Scholar
[34] Dahlsten O C O 2013 Entropy 15 5346
Google Scholar
DownLoad:
Catalog
Metrics
- Abstract views: 6796
- PDF Downloads: 106
- Cited By: 0
