add more datasets

fc_plot.py

@@ -9,16 +9,29 @@ import random
 blue = '#0984e3'
 red = '#d63031'
 green = '#227D51'
+kikyo = '#6A4C9C'
+hanaba = '#F7C242'
 
 sim = [0.79844266, 0.8377947, 0.87015217, 0.91429971, 0.94337877, 0.89212607, 0.99805755, 0.98048562, 0.98530593, 0.99598291, 0.87856398, 0.99217795, 0.62392839, 0.99253731, 0.99703892]
 ana = [0.8, 0.8290884722222223, 0.8581769444444445, 0.8872654166666667, 0.9163538888888889, 0.9454423611111111, 0.9745308333333333, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 1.0, 1.0]
+nowak_classic = [0.50427784, 0.26236224, 0.25333527, 0.25242894, 0.25232019, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393, 0.25228393]
+nowak_survive = [0.50017833, 0.26068193, 0.88939394, 0.9595738, 0.99796403, 0.99828179, 0.99827646, 1, 1, 1, 1, 1, 1, None, None]
+santos_survive = [0.50071587, 0.27929701, 0.9098483, 0.938, 0.99437628, 0.99861352, 0.99877322, 1, 1, 1, 1, 1, 1, None, None]
+santos_classic = [0.49821874, 0.2757036, 0.26718917, 0.26270039, 0.25895974, 0.2562166, 0.25439971, 0.25290346, 0.25187032, 0.25097969, 0.25037406, 0.24983969, 0.24919843, 0.24884218, 0.24862843]
+
+
 
 def p1(x, coopr, crawx, crawy, postfix, show=True):
-    fig = plt.figure(figsize=(4.5, 1.8))
+    fig = plt.figure(figsize=(5, 2))
     ax = fig.gca()
     if postfix == 'SURVIVE':
         ax.plot(x, sim, marker='s', linestyle='dotted', markerfacecolor='none', color=red, linewidth=2, label="Simulation")
         ax.plot(x, ana, marker='^', linestyle='dotted', markerfacecolor='none', color=green, linewidth=2, label="Analytical")
+        ax.plot(x, santos_survive, marker='x', linestyle='dotted', markerfacecolor='none', color=kikyo, linewidth=2, label="Baseline#1")
+        ax.plot(x, nowak_survive, marker='*', linestyle='dotted', markerfacecolor='none', color=hanaba, linewidth=2, label="Baseline#2")
+    else:
+        ax.plot(x, santos_classic, marker='x', linestyle='dotted', markerfacecolor='none', color=kikyo, linewidth=2, label="Baseline#1")
+        ax.plot(x, nowak_classic, marker='*', linestyle='dotted', markerfacecolor='none', color=hanaba, linewidth=2, label="Baseline#2")
     ax.plot(x, coopr, marker='o', linestyle='dotted', markerfacecolor='none', color=blue, linewidth=2, label="Human")
     ax.scatter(crawx, crawy, s=15, c='dimgray', marker='x', linewidth=0.5, alpha=0.4)
     ax.set_ylim(-0.05, 1.05)
@@ -32,13 +45,13 @@ def p1(x, coopr, crawx, crawy, postfix, show=True):
     ax.set_ylabel(r"f$_{\rm c}$", size=11, fontstyle='normal')
     ax.yaxis.grid(True, linestyle='--')
     # if postfix == 'SURVIVE':
-    #     ax.legend(loc='best', fontsize=10, ncol=3)
+        # ax.legend(loc='upper center', fontsize=10, ncol=1)
 
     plt.tight_layout()
     if show:
         plt.show()
     else:
-        plt.savefig("graph/fc_plot_%s.eps" % postfix)
+        plt.savefig("graph/fc_plot_%s.pdf" % postfix)
 
 
 def plot(mode, show):

ref.txt

@@ -0,0 +1,2 @@
+Santos, F. C. & Pacheco, J. M. Scale-free networks provide a unifying framework for the emergence of cooperation.Phys. Rev. Lett.95, 098104 (2005).
+Nowak, M. A. & May, R. M. Evolutionary games and spatial chaos.Nature359, 826–829 (1992).