PageRank
|
Parameter |
Mandatory |
Description |
Type |
Value Range |
Default Value |
|---|---|---|---|---|---|
|
alpha |
No |
Weight coefficient (also called damping coefficient) |
Double |
A real number between 0 and 1 (excluding 0 and 1) |
0.85 |
|
convergence |
No |
Convergence |
Double |
A real number between 0 and 1 (excluding 0 and 1) |
0.00001 |
|
max_iterations |
No |
Maximum iterations |
Integer |
1 to 2000 |
1000 |
|
directed |
No |
Whether to consider the edge direction |
Boolean |
true or false |
true |
Iterations and convergence
The algorithm is terminated when either the maximum number of iterations is reached or the convergence precision is met.
- Generally, a smaller convergence precision and larger number of iterations lead to a better effect of the algorithm.
- To meet a certain convergence precision, you should set the number of iterations as large as possible.
- A larger number of iterations means a longer algorithm running time. To ensure that the algorithm runs at a certain number of iterations (that is, in a fixed duration), you should set the convergence precision as small as possible.
|
Parameter |
Type |
Description |
|---|---|---|
|
pagerank |
List |
PageRank value of each vertex. The format is as follows: [{vertexId:rankValue},...], where vertexId is of the string type. rankValue is of the double type. |
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
For any further questions, feel free to contact us through the chatbot.
Chatbot
