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Table 1.

Typical IPUC cases.

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Table 1 Expand

Fig 1.

The IPUC "multi-agent co-governance" system.

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Fig 1 Expand

Table 2.

The meaning and value range of critical parameters.

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Table 2 Expand

Table 3.

The strategic payoff matrix of government departments and Internet platforms.

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Table 3 Expand

Fig 2.

Chaotic region of binary stochastic game system.

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Fig 2 Expand

Fig 3.

The evolutionary pathway of binary deterministic and continuous strategy set game system.

(a) The case of Δp1 > 0(q < q1). (b) The case of Δp1 < 0(q > q1).

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Fig 3 Expand

Fig 4.

The promotion effect of public participation q on the positive state.

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Fig 4 Expand

Fig 5.

The graphs of the quadratic concave functions G(m) and H(n).

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Fig 5 Expand

Table 4.

The effect of parameters on the evolution of the game system toward the positive state.

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Table 4 Expand

Table 5.

The initialization value of model parameters.

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Table 5 Expand

Fig 6.

The evolutionary pathway (0,0) of binary deterministic game system.

(a) One initial point. (b) Multiple initial points.

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Fig 6 Expand

Fig 7.

The evolutionary pathway (0,0) of binary stochastic game system.

(a) One initial point. (b) Multiple initial points.

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Fig 7 Expand

Fig 8.

The evolutionary pathway (1,1) of binary deterministic game system.

(a) one initial point. (b) multiple initial points.

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Fig 8 Expand

Fig 9.

The evolutionary pathway (1,1) of binary stochastic game system.

(a) one initial point. (b) multiple initial points.

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Fig 9 Expand

Fig 10.

The inhibitory effect of stochastic disturbance intensity σ on the the positive state.

(a) Equilibrium point (0,0). (b) Equilibrium point (1,1).

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Fig 10 Expand

Fig 11.

The Evolutionary pathways of oscillatory motion in the chaotic state.

(a) σ = 0.01. (b) σ = 0.05.

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Fig 11 Expand

Fig 12.

The positive effect of parameter p on x(t) and parameter g on y(t).

(a) x(t). (b) y(t).

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Fig 12 Expand

Fig 13.

The inversed U-shaped and monotonic correlation between expected returns EX(m), EY(n) and parameters m, n.

(a) EX(m). (b) EY(n).

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Fig 13 Expand