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Research article

External intervention model with direct and indirect propagation behaviors on social media platforms


  • A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.

    Citation: Fulian Yin, Xinyi Tang, Tongyu Liang, Yanjing Huang, Jianhong Wu. External intervention model with direct and indirect propagation behaviors on social media platforms[J]. Mathematical Biosciences and Engineering, 2022, 19(11): 11380-11398. doi: 10.3934/mbe.2022530

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  • A significant distinction between the COVID-19 pandemic and previous pandemics is the significant role of social media platforms in shaping public adherence to non-pharmaceutical interventions and vaccine acceptance. However, with the recurrence of the epidemic, the conflict between epidemic prevention and production recovery has become increasingly prominent on social media. To help design effective communication strategies to guide public opinion, we propose a susceptible-forwarding-immune pseudo-environment (SFI-PE) dynamic model for understanding the environment with direct and indirect propagation behaviors. Then, we introduce a system with external interventions for direct and indirect propagation behaviors, termed the macro-controlled SFI-PE (M-SFI-PE) model. Based on the numerical analyses that were performed using actual data from the Chinese Sina microblogging platform, the data fitting results prove our models' effectiveness. The research grasps the law of the new information propagation paradigm, and our work bridges the gap between reality and theory in information interventions.



    Nonlinear partial differential equations (NPDEs) are crucial due to their ability to decode a wide-ranging of phenomena, as well as wave bending, fluid mechanics, hydrodynamics, organic molecular dispersion, magnetism, thermal conductivity, and many more. These phenomena are found across multiple scientific areas, such as mathematics, physics, engineering, biology, and finance. The broad range of NLPDEs is shown by a variety of equations, such as the Higgs system, advection equation, Boussinesq equation, Fisher's equation, and Burger's equation, among others [1,2,3,4,5].

    Several asymptotic methods have been proposed in other studies to explore the internal dynamic behaviors of nonlinear partial differential equations (NPDEs) and fractional NPDEs with investigations on propagating solitons and other travelling wave solutions [6,7,8,9,10]. A soliton is an auto-oscillating wave-packet that preserves both its shape and speed during its propagation due to the fine-tuning between dispersion and nonlinearity. Kink waves, shock waves, lump waves, damped waves, periodic waves, etc are a few examples of solitons are present, which are described by soliton theory [11,12,13]. Despite the abundant availability of numerical solutions, analysts often resort to analytical methods because of the ability to explain the flow of physics and the accuracy of estimate of the behaviors of the system [14,15,16]. As a result, work on developing analytical treatments to investigate the solitonic behavior of NPDEs and fractional NPDEs is still ongoing, and several analytical methods have been created to investigate soliton solutions. F-expansion technique [17], sech-tanh technique [18], Sardar sub-equation technique [19], (G/G)-expansion technique [20,21,22,23], exp-function technique [24], sub-equation technique [25], tanh technique [26], (G/G2)-expansion technique [27], Hirota bilinear technique [28], Kudryashov technique [29], Poincaré-Lighthill Kuo approach [30], unified technique [31], Riccati-Bernoulli Sub-ODE technique [32], extended direct algebraic technique [33,34,35,36,37], auxiliary equation method [38], simple equation method [39], and RMESEM [40] are a few of these methods.

    To discover cases of propagating solitons and other traveling waves, results for NPDEs and NFPDEs, this work establishes a new modification in a novel analytical technique called RMESEM with extended Riccati equation. This approach uses a variable-form wave transformation to transform the NPDE or NFPDE into an integer-order NODE. The resulting NODE is considered to have a series-based result (incorporating the solution of the Riccati equation). The substitution of the supposed solution in the resultant NODE transforms it into a set of algebraic equations. The soliton solutions for the relevant NPDEs and NFPDEs are acquired by more thoroughly finding the solutions of algebraic equations. The families of soliton solutions produced by RMESEM with the extended Riccati equation can help us comprehend the fundamental physical mechanisms and behavioral patterns of the nonlinear system.

    To showcase the effectiveness of the improved RMESEM, the method is utilized to acquire soliton solutions for the (2+1)-dimensional GZK-BBME. In 1972, Benjamin et al. [41] investigated the issue of long waves with small and finite amplitudes and put out the Benjamin-Bona-Mahony equation (BBME), which took the following form:

    vt+αvx+βvvxγvtxx=0. (1.1)

    To study weakly nonlinear ion-acoustic oscillations in low-pressure magnetized plasma, Zakharov and Kuznetsov [42] extended the Korteweg-de Vries (KdV) equation, resulting in the formulation of the Zakharov-Kuznetsov equation (ZKE) as:

    vt+αvvx+(vxx+vyy+vzz)x=0, (1.2)

    where v denotes ion velocity with the magnetic fields and is non-dimensional. Wazwaz [43] merged the ZKE and BBME equations in 2005 to create the (2+1) dimensional GZK-BBM equation [40]:

    vt+vx+α(vδ)x+β(vxt+vyy)x=0,δ>1, (1.3)

    where v=v(t,x,y), the coefficients α and β are the relative dispersion and nonlinear parameters respectively, and x and y are the propagating & transverse coordinates. The nonlinear influence is introduced into the equation by the term (vδ)x. This formula is applied to the ZK-model analysis of long waves with finite amplitude. This equation's odd-order derivatives, vxxt and vyyx, take the dispersion effect into account. Examining the way the nonlinear and dispersion effects interact with the problem is one goal of the generalized GZK-BBME investigation. For instance, the tanh and sine-cosine approach was used to solve (3) [44]. By using a modified simple equation approach, Khan et al. [45] were able to get solitary wave solutions to the GZK-BBME for n=3. In 2015, Guner et al. [46] revealed the dark and bright soliton solution of the GZK-BBME. Finally, Patel and Kumar acquired numerical and semi-analytical solutions for GZK-BBME for n=2 and n=3 by the Adomian decomposition method and the variational iteration method, respectively, under some initial conditions [40]. The remaining task of the present analysis is to constructs and examine the propagation of the solitons in the context of GZK-BBME for n=3 articulated in (2.1).

    The rest of the study is structured as follows: In Section 2, we detail the working process of RMESEM. Following this approach, we develop soliton solutions for the GZK-BBME in Section 3. The depictions and graphical discussion are presented in Section 4. Lastly, Section 5 provides the conclusion in our research proposal.

    This section outlines the operational mechanism of RMESEM for constructing soliton solutions for NPDEs. Suppose the following general NPDE:

    P(v,vt,vx,vy,vvt,)=0, (2.1)

    where v=v(t,x,y) is an unknown function, P is the polynomial of v(t,x,y), while the subscripts signify partial derivatives.

    The main steps of the proposed RMESEM are as follows:

    Step 1. Take into consideration the ensuing wave transformation

    v(t,x,y)=V(ζ),whereζ=x+yωt, (2.2)

    where ω denotes wave speed. Equation (2.1) is converted into the following NODE using the above wave transformation:

    Q(V,VV,V,)=0, (2.3)

    where the primes indicate the ordinary derivatives of V with respect to ζ, and Q is a polynomial of V and its derivatives.

    Step 2. Equation (2.3) is sometimes integrated term by term to be made conformable for the homogeneous balancing rule.

    Step 3. Following that, we suppose that a closed-form wave solution for Eq (2.3) can be expressed in the ensuing form:

    V(ζ)=γj=0kj(Φ(ζ)Φ(ζ))j+γ1ϵ=0sϵ(Φ(ζ)Φ(ζ))ϵ(1Φ(ζ)), (2.4)

    where kj(j=0,...,γ) and sϵ(ϵ=0,...,γ1) represent the unknown constants that need to be determined later and Φ(ζ) satisfies the subsequent 1st order Riccati equation:

    Φ(ζ)=p+qΦ(ζ)+r(Φ(ζ))2, (2.5)

    where p,q and r are constants.

    Step 4. To calculate the integer γ presented in Eq (2.4), we take the homogeneous balance between the highest nonlinear term and the highest-order derivative term in Eq (2.3).

    Step 5. Substituting the value of γ got in step 4 into Eq (2.4) and substituting the result together with Φ(ζ) raised to the exponent equal to the index of the integral on the left-hand side of Eq (2.3) or substituting the result with Φ(ζ) when we have integrated Eq (2.3) gives an expression in terms of Φ(ζ). New additional construction by comparison of coefficient expression gives a system of algebraic equations of kj(j=0,...,γ) and sϵ(ϵ=0,...,γ1) with other associated parameters that are introduced.

    Step 6. Solving the algebraic system obtained in Step 5 with the help of algebraic software Maple yields values of kj(j=0,...,γ) and sϵ(ϵ=0,...,γ1) with additional associated parameters.

    Step 7. Finally, soliton solutions to Eq (2.1) are derived by determining and substituting the calculated values of parameters in Eq (2.4) with the solutions of Eq (2.5) that are given in Table 1.

    Table 1.  The solutions Φ(ζ) that meet the particular Riccati equation in (2.4) and the structure of (Φ(ζ)Φ(ζ)), where κ=q24rp and =cosh(14κζ)sinh(14κζ).
    S. No. Family Condition(s) Φ(ζ) (Φ(ζ)Φ(ζ))
    1 Trigonometric Solutions κ<0,r0
    q2r+κtan(12κζ)2r, 12κ(1+(tan(12κζ))2)q+κtan(12κζ),
    q2rκcot(12κζ)2r, 12(1+(cot(12κζ))2)κq+κcot(12κζ),
    q2r+κ(tan(κζ)+(sec(κζ)))2r, κ(1+sin(κζ))sec(κζ)qcos(κζ)+κsin(κζ)+κ,
    q2r+κ(tan(κζ)(sec(κζ)))2r. κ(sin(κζ)1)sec(κζ)qcos(κζ)+κsin(κζ)κ.
    2 Rational Solutions
    κ=0 2p(qζ+2)q2ζ, 21ζ(qζ+2),
    κ=0, & q=r=0 ζp, 1ζ,
    κ=0, & q=p=0 1ζr. 1ζ.
    3 Hyperbolic Solutions κ>0,r0
    q2rκtanh(12κζ)2r, 12(1+(tanh(12κζ))2)κq+κtanh(12κζ),
    q2rκ(tanh(κζ)+i(sech(κζ)))2r, κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)+κsinh(κζ)+iκ),
    q2rκ(tanh(κζ)i(sech(κζ)))2r, κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)κsinh(κζ)+iκ),
    q2rκ(coth(κζ)+(csch(κζ)))2r. 14κ(2(cosh(14κζ))21)(2q+κ).
    4 Rational-Hyperbolic Solutions
    p=0, & q0, r0 λbr(cosh(bζ)sinh(bζ)+λ), q(sinh(qζ)cosh(qζ))cosh(qζ)+sinh(qζ)λ,
    b(cosh(bζ)+sinh(bζ))r(cosh(bζ)+sinh(bζ)+μ). qμcosh(qζ)+sinh(qζ)+μ.
    5 Exponential Solutions
    r=0, & q=Υ, p=hΥ eΥζh, ΥeΥζeΥζh,
    p=0, & q=Υ, r=hΥ eΥζ1heΥζ. Υ1+heΥζ.

     | Show Table
    DownLoad: CSV

    This section employs the proposed RMESEM for the establishment of new plethora of soliton solutions for GZK-BBME with δ=3 of the form:

    vt+vx+α(v3)x+β(vxt+vyy)x=0. (3.1)

    We proceed by performing the wave transformation given in Eq (2.2), which transforms Eq (3.1) into the ensuing NODE:

    ωV+V+α(V3)+β(ωV+V)=0. (3.2)

    Upon integrating Eq (3.2) with zero constant of integration, we obtain the following NODE:

    (1ω)V+αV3+(1ω)βV. (3.3)

    Establishing the principle of homogenous balance between terms V and V3 in Eq (3.3) suggests that 2+γ=3γ which applies γ=1. Substituting γ=1 in Eq (2.4) presents the series form closed solutions for Eq (3.3):

    V(ζ)=1j=0kj(Φ(ζ)Φ(ζ))j+(s0Φ(ζ)). (3.4)

    An expression in Φ(ζ) is generated by entering Eq (3.4) into Eq (3.3) and gathering all terms with the equal exponents of Φ(ζ). The achieved expressions can be reduced to the ensuing scheme of seven nonlinear algebraic equations by putting the coefficients to zero:

    2βk1r32βωk1r3+αk13r3=0,
    3αk13qr23βωk1qr2+3αk0k12r2+3βk1qr2=0,
    2βωk1r2p+2βk1r2p+3αk02k1rβωk1q2r+3αk13pr2ωk1r+k1r+3αk13q2r+6αk0k12qr+βk1q2r+3αk12r2s0=0,
    6αk13pqr+αk03+2βk1qpr+6αk0k1rs0+k1qωk1q+6αk0k12pr+3αk02k1q+6αk12qrs0+k0+βs0qrβωs0qr+αk13q3+3αk0k12q2ωk02βωk1qpr=0,
    ωs0+βs0q2+6αk12prs0+6αk0k12pq+3αk13p2rωk1p+k1p+3αk02s02βωk1rp2+s02βωs0pr+6αk0k1qs0+3αk02k1p+2βs0pr+βk1q2p+3αk1rs02+3αk13pq2βωs0q2+3αk12q2s0+2βk1rp2βωk1q2p=0,
    3αk13p2q+3βs0pq+3αk1qs023βωs0pq+6αk0k1ps03βωk1qp2+6αk12pqs0+3αk0k12p2+3βk1qp2+3αk0s02=0,

    and

    2βωs0p2+αk13p3+3αk12p2s0+αs032βωk1p3+2βs0p2+3αk1ps02+2βk1p3=0.

    When tackling the result scheme with Maple, the followings three sorts of results become available:

    Case 1.

    k1=0,s0=s0,k0=12s0qp,β=2κ,α=4p2(ω1)κs02,ω=ω. (3.5)

    Case 2.

    k1=k1,s0=s0,k0=k0,β=β,α=0,ω=1. (3.6)

    Case 3.

    k1=k1,s0=k1p,k0=12k1q,β=2κ,α=4ω1κk12,ω=ω. (3.7)

    When Case 1 is assumed and Eqs (2.2) and (3.4), together with the consistent general result of Eq (2.5) given in Table 1. The following cases of soliton results for GZK-BBME expressed in Eq (3.1) result:

    Set. 1.1. With κ<0,r0,

    v1,1(x,y,t)=12s0qp+s0(12qr+12κtan(12κζ)r)1, (3.8)
    v1,2(x,y,t)=12s0qp+s0(12qr12κcot(12κζ)r)1, (3.9)
    v1,3(x,y,t)=12s0qp+s0(12qr+12κ(tan(κζ)+sec(κζ))r)1, (3.10)

    and

    v1,4(x,y,t)=12s0qp+s0(12qr+12κ(tan(κζ)sec(κζ))r)1. (3.11)

    Set. 1.2. With κ>0,r0,

    v1,5(x,y,t)=12s0qp+s0(12qr12κtanh(12κζ)r)1, (3.12)
    v1,6(x,y,t)=12s0qp+s0(12qr12κ(tanh(κζ)+isech(κζ))r)1, (3.13)
    v1,7(x,y,t)=12s0qp+s0(12qr12κ(tanh(κζ)isech(κζ))r)1, (3.14)

    and

    v1,8(x,y,t)=12s0qp+s0(12qr14κ(tanh(14κζ)coth(14κζ))r)1. (3.15)

    Set. 1.3. With q=Υ, p=hΥ(h0) and r=0,

    v1,9(x,y,t)=12s0h+s0eΥζh. (3.16)

    In above solutions ζ=x+yωt.

    When Case 2 is assumed and Eqs (2.2) and (3.4) together with the consistent general result of Eq (2.5) given in Table 1. The following cases of soliton results for GZK-BBME expressed in Eq (3.1) result:

    Set. 2.1. With κ<0,r0,

    v2,1(x,y,t)=k012k1κ(1+(tan(12κζ))2)q+κtan(12κζ)+s0(12qr+12κtan(12κζ)r)1, (3.17)
    v2,2(x,y,t)=k0+12k1κ(1+(cot(12κζ))2)q+κcot(12κζ)+s0(12qr12κcot(12κζ)r)1, (3.18)
    v2,3(x,y,t)=k0k1κ(1+sin(κζ))cos(κζ)(qcos(κζ)+κsin(κζ)+κ)+s0(12qr+12κ(tan(κζ)+sec(κζ))r)1+k0, (3.19)

    and

    v2,4(x,y,t)=k1κ(sin(κζ)1)cos(κζ)(qcos(κζ)+κsin(κζ)κ)+s0(12qr+12κ(tan(κζ)sec(κζ))r)1+k0. (3.20)

    Set. 2.2. With κ>0,r0,

    v2,5(x,y,t)=k012k1κ(1+(tanh(1/2κζ))2)q+κtanh(12κζ)+s0(12qr12κtanh(12κζ)r)1, (3.21)
    v2,6(x,y,t)=k1κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)+κsinh(κζ)+iκ)+s0(12qr12κ(tanh(κζ)+isech(κζ))r)1+k0, (3.22)
    v2,7(x,y,t)=k1κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)κsinh(κζ)+iκ)+s0(12qr12κ(tanh(κζ)isech(κζ))r)1+k0, (3.23)

    and

    v2,8(x,y,t)=14k1κ(2(cosh(14κζ))21)cosh(14κζ)sinh(14κζ)(2qcosh(14κζ)sinh(14κζ)+κ)+s0(12qr14κ(tanh(14κζ)coth(14κζ))r)1+k0. (3.24)

    Set. 2.3. With κ=0,q0,

    v2,9(x,y,t)=k02k1ζ(qζ+2)12s0q2ζp(qζ+2). (3.25)

    Set. 2.4. With κ=0, in case when q=r=0,

    v2,10(x,y,t)=k0+k1ζ+s0pζ. (3.26)

    Set. 2.5. With κ=0, in case when q=p=0,

    v2,11(x,y,t)=k0k1ζs0rζ. (3.27)

    Set. 2.6. With q=Υ, p=hΥ(h0) and r=0,

    v2,12(x,y,t)=k0+k1ΥeΥζeΥζh+s0eΥζh. (3.28)

    Set. 2.7. With q=Υ, r=hΥ(h0) and p=0,

    v2,13(x,y,t)=k0k1Υ1+heΥζ+s0(1heΥζ)eΥζ. (3.29)

    Set. 2.8. With p=0, r0 and q0,

    v2,14(x,y,t)=k0+k1q(sinh(qζ)cosh(qζ))cosh(qζ)+sinh(qζ)λs0r(cosh(qζ)sinh(qζ)+λ)λq, (3.30)

    and

    v2,15(x,y,t)=k0+k1qμcosh(qζ)+sinh(qζ)+μs0r(cosh(qζ)+sinh(qζ)+μ)q(cosh(qζ)+sinh(qζ)). (3.31)

    In above solutions ζ=x+yt.

    When Case 3 is assumed and Eqs (2.2) and (3.4) together with the consistent general result of Eq (2.5) given in Table 1. The following cases of soliton results for GZK-BBME expressed in Eq (3.1) result:

    Set. 3.1. With κ<0,r0,

    v3,1(x,y,t)=12k1q12k1κ(1+(tan(12κζ))2)q+κtan(12κζ)k1p(12qr+12κtan(12κζ)r)1, (3.32)
    v3,2(x,y,t)=12k1q+12k1κ(1+(cot(12κζ))2)q+κcot(12κζ)k1p(12qr12κcot(12κζ)r)1, (3.33)
    v3,3(x,y,t)=k1κ(1+sin(κζ))cos(κζ)(qcos(κζ)+κsin(κζ)+κ)k1p(12qr+12κ(tan(κζ)+sec(κζ))r)112k1q, (3.34)

    and

    v3,4(x,y,t)=k1κ(sin(κζ)1)cos(κζ)(qcos(κζ)+κsin(κζ)κ)k1p(12qr+12κ(tan(κζ)sec(κζ))r)112k1q. (3.35)

    Set. 3.2. With κ>0,r0,

    v3,5(x,y,t)=12k1q12k1κ(1+(tanh(12κζ))2)q+κtanh(12κζ)k1p(12qr12κtanh(12κζ)r)1, (3.36)
    v3,6(x,y,t)=k1κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)+κsinh(κζ)+iκ)k1p(12qr12κ(tanh(κζ)+isech(κζ))r)112k1q, (3.37)
    v3,7(x,y,t)=k1κ(1+isinh(κζ))cosh(κζ)(qcosh(κζ)κsinh(κζ)+iκ)k1p(12qr12κ(tanh(κζ)isech(κζ))r)112k1q, (3.38)

    and

    v3,8(x,y,t)=14k1κ(2(cosh(14κζ))21)cosh(14κζ)sinh(14κζ)(2qcosh(14κζ)sinh(14κζ)+κ)k1p(12qr14κ(tanh(14κζ)coth(14κζ))r)112k1q. (3.39)

    Set. 3.3. With q=Υ, p=hΥ(h0) and r=0,

    v3,9(x,y,t)=12k1Υ+k1ΥeΥζeΥζhk1hΥeΥζh. (3.40)

    Set. 3.4. With q=Υ, r=hΥ(h0) and p=0,

    v3,10(x,y,t)=12k1Υk1Υ1+heΥζ. (3.41)

    Set. 3.5. With p=0, r0 and q0,

    v3,11(x,y,t)=12k1q+k1q(sinh(qζ)cosh(qζ))cosh(qζ)+sinh(qζ)λ, (3.42)

    and

    v3,12(x,y,t)=12k1q+k1qμcosh(qζ)+sinh(qζ)+μ. (3.43)

    In above solutions ζ=x+yωt.

    We present depictions for the numerous wave forms found in the framework pursuant to assessment in this part of the paper. We compiled and graphically displayed waves such as dark solitary, bright, dark-bright, lump-like, dark, anti, and cuspon kinks in 2D, 3D, and contour modes through RMESEM. The results obtained are essential for interpreting the manner in which attributed physical phenomena operate. The objectives of the produced soliton solutions are to significantly expand our comprehension with regard to the theory of long waves with finite amplitude and the related field. Additionally, it has been graphically demonstrated that the solitons in the context of GZK-BBME take the shapes of kink solitons prominently.

    Peculiar wave solutions in NPDEs with a supple, resilient, confined transition across the two asymptotic shifts are known as kink solitons. Such waves are seen in some NPDEs, including the GZK-BBME, which models wave propagation in a range of physical systems, including fluids and plasma.

    Kink solitons are put into many groups according to the characteristics they exhibit, such as dark, lump-like, cuspon kink, dark-kink, grey kink, and dark-bright kink solitons. In contrast, bright kinks are concentrated, steady wave packets with an energy peak or accumulation that maintains its peak shape and dimension through transmission. Dark-bright kink solitons bring together the properties of both dark wave and bright kinks. Lump-like kinks display locally lump-shaped forms; during propagation, they can alter structure or orientation. Erratic, cusp-type field discontinuities separate cuspon kinks from smoother solitons. Lastly, A grey kink, which produces a waveform with a steeper amplification plunge compared to a black kink, is referred to as a confined, uniform transition with a non-zero deviance distinguishing two hyperbole phases. Being that they preserve their initial configuration as they propagate through the GZK-BBME, kink solitons are important for studying long-wave dispersal amplitude that is finite. Kink solitons persistence occurrence in a variety of media, such as water, provides insight into wave conduct, surf-to-wave interaction, and patterning integrity throughout time and space. Because kink solitons are stable, confined waves that transmit without altering form, they are useful for explaining fluid dynamics, nonlinear wave theory, and plasma physics scenarios. In particular, kink solitons may be used to describe ion-acoustic waveforms in polarized plasmas in plasma physics. Shallow waves of water influenced by both dispersive and nonlinear factors are described by them in fluid dynamics. Furthermore, they are perfect for researching the transmission of energy and communication in nonlinear optical systems and other dispersive media controlled by comparable dynamical equations due to their stability and durability. As demonstrated in this study, these applications highlight the significance of investigating their many forms and behaviors. This information is essential for describing & predicting wave motion in dynamics of fluids, plasma physics, and related purposes.

    Remark 1: Figure 1 is plotted for v1,6 given in (3.13), which displays an anti-kink soliton profile.

    Figure 1.  The real part of anti-kink soliton solution v1,6, as described in (3.13), is represented in three dimension, with contours and in two dimension (y=1) for the following values of p:=1;q:=10;r:=8;ω:=20;s0:=10;t:=2.

    Remark 2: Figure 2 is plotted for v1,9 given in (3.16), which displays an anti-kink soliton profile.

    Figure 2.  The anti-kink soliton solution v1,9, as described in (3.16), is represented in three dimension, with contours and in two dimension (y=100) for the following values of p:=25;q:=5;h:=5;Υ:=5;r:=0;ω:=10;s0:=30;t:=4.

    Remark 3: Figure 3 is plotted for v2,5 given in (3.21), which displays an anti-kink soliton profile.

    Figure 3.  The anti-kink soliton solution v2,5, as described in (3.21), is represented in three dimension, with contours and in two dimension (y=0) for the following values of p:=1;q:=5;r:=4;ω:=1;k0:=1;k1:=2;s0:=5;t:=0.

    Remark 4: Figure 4 is plotted for v2,8 given in (3.24), the profile shows a bright kink soliton.

    Figure 4.  The bright kink soliton solution (also known as a hump kink) v2,8, as described in (3.24), is represented in three dimension, with contours and in two dimension (y=1) for the following values of p:=4;q:=10;r:=4;ω:=1;k0:=3;k1:=6;s0:=15;t:=1.

    Remark 5: Figure 5 is plotted for v2,9 given in (3.25), the profile shows a lump-like kink soliton.

    Figure 5.  The lump-type kink soliton solution v2,9, as described in (3.25), is represented in three dimension, with contours and in two dimension (y=50) for the following values of p:=1;q:=2;r:=1;ω:=1;k0:=4;k1:=8;s0:=20;t:=10.

    Remark 6: Figure 6 is plotted for v2,10 given in (3.26), the profile shows a lump-like kink soliton.

    Figure 6.  The lump-type kink soliton solution v2,10, as described in (3.26), is represented in three dimension, with contours and in two dimension (y=1) for the following values of p:=15;q:=0;r:=0;ω:=1;k0:=5;k1:=10;s0:=25;t:=20.

    Remark 7: Figure 7 is plotted for v2,12 given in (3.28), the profile shows a cuspon anti-kink soliton.

    Figure 7.  The cuspon anti-kink soliton solution v2,12, as described in (3.28), is represented in three dimension, with contours and in two dimension (y=50) for the following values of p:=6;q:=3;h:=2;Υ:=3;r:=0;ω:=1;k0:=10;k1:=20;s0:=50;t:=100.

    Remark 8: Figure 8 is plotted for v3,1 given in (3.32), the profile shows a bright-dark kink soliton.

    Figure 8.  The bright-dark kink soliton solution v3,1, as described in (3.32), is represented in three dimension, with contours and in two dimension (y=0.3) for the following values of p:=6;q:=1;r:=5;ω:=10;k0:=1;k1:=5;s0:=50;t:=50.

    Remark 9: Figure 9 is plotted for v3,5 given in (3.36), the profile shows a grey kink soliton.

    Figure 9.  The gray kink soliton solution v3,5, as described in (3.36), is represented in three dimension, with contours and in two dimension (y=1000) for the following values of p:=4;q:=10;r:=4;ω:=20;k1:=30;t:=100.

    Remark 10: Figure 10 is plotted for v3,10 given in (3.41), the profile shows a solitary kink soliton.

    Figure 10.  The solitary kink soliton solution v3,10, as described in (3.41), is represented in three dimension, with contours and in two dimension (y=45) for the following values of p:=0;q:=10;r:=20;Υ:=10;h:=2;ω:=5;k1:=10;t:=50.

    Remark 11: Figure 11 is plotted for v3,12 given in (3.43), the profile shows a solitary kink soliton.

    Figure 11.  The solitary kink soliton solution v3,12, as described in (3.43), is represented in three dimension, with contours and in two dimension (y=50) for the following values of p:=0;q:=5;r:=5;ω:=1;k0:=2;k1:=3;s0:=5;t:=20;μ:=5.

    The modernized RMESEM was established in this research to address a nonlinear model, namely GZK-BBME. With the help of the Riccati equation, the RMESEM was capable of arriving at a close form solution for the NODE that the model generated. The propagating soliton solutions that are significant to the problem's physical interpretation were subsequently obtained by shaping this solution into a system of nonlinear algebraic equations. It was shown that different travelling solitons, including dark-kink, lump-type, dark-bright, grey kink, and cuspon kink solitons, exist in kink soliton solutions by presenting multiple 3D, 2D, and contour graphs. The research highlights the implications for several practical applications in the linked fields of nonlinear GZK-BBME and demonstrates how the RMESEM may be utilized to build arrays of soliton solutions for difficult problems, particularly plasma physics and fluid dynamics. Thus, despite the fact that the analysis within the framework of the GZK-BBME provides insight into soliton dynamics that relate to the models of interest, it is constructive to also point out the drawbacks of using this method, especially when the largest derivative and nonlinear term are not equivalent. However, this limitation does not detract from the present study since this work clearly shows that the strategy used in this work is highly efficient, portable, and reliable for nonlinear problems of various natural science disciplines.

    Some of the above mentioned analytical methods rely on the Riccati equation. These methods are convenient to analyze soliton effects in nonlinear models since the equation of the Riccati type possesses solitary solutions [47]. Based on these applications of the Riccati hypothesis, the current study employed the Riccati equation comprising RMESEM [48] to generate and simulate soliton dynamics in GZK-BBME. This addition was useful as it generated five new families of kink soliton solutions for the targeted model: rational, hyperbolic, periodic, exponential and rational-hyperbolic. From the solutions obtained, significant progress was made towards the understanding of soliton behaviour and establishing a linkage between the events in the targeted model and the mentioned theories. Limiting our method's solutions results in some other strategies' solutions. The analogy is given in the part that follows:

    Comparison with other analytical techniques

    The outcomes of the other analytical techniques can be obtained using our procedure. As an instance:

    Axiom 6.1.1. The following develops after k1=0 is configured in (3.4):

    V(ζ)=d0(1Φ(ζ)). (A.1)

    This shows that the closed-type result is associated with EDAM. Thus, attaining k1=0, our solutions can likewise lead to the results generated by EDAM.

    Axiom 6.1.2. Similarly, the following develops after s0=0 is configured in (3.4):

    V(ζ)=1j=0Cj(Φ(ζ)Φ(ζ))j, (A.2)

    This is the closed form solution obtained is applying the Riccati equation in the (G/G)-expansion approach.

    As a result, the results of our study might potentially provide a wider range of results generated by the EDAM and (G/G)-expansion techniques.

    N.M.A.A.; Conceptualization, H.Z.; formal analysis, H.Z.; investigation, N.M.A.A.; validation, H.Z.; visualization, N.M.A.A. and H.Z. funding; H.Z.; Data curation, H.Z.; resources, H.Z.; validation, N.M.A.A.; software, H.Z.; resources, N.M.A.A.; project administration, H.Z. writing-review & editing. All authors contributed equally. All authors have read and agreed to the published version of the manuscript.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors declare that they have no conflicts of interest.



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