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pagerank, the simple case
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def computePR(graph, oldPR): | |
newPR = {} | |
N = len(graph) | |
for node in graph: | |
pr = 0 | |
for pred in graph[node][0]: | |
if len(graph[pred][1]) != 0: | |
pr += (oldPR[pred]+0.0)/len(graph[pred][1]) | |
pr = 0.15 / N + 0.85 * pr | |
newPR[node] = pr | |
return newPR | |
#each node in graph is with two lists, | |
#node[0] is the list of incoming nodes, | |
#node[1] is the list of outgoing nodes. | |
graph = {1:[[2,3],[2,3]],2:[[1],[1]],3:[[1],[1]]} | |
oldPR = {} | |
for node in graph: | |
oldPR[node] = 1.0/len(graph) | |
for i in range(50): | |
newPR = computePR(graph, oldPR) | |
print newPR | |
oldPR,newPR = newPR, oldPR |
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