[ https://issues.apache.org/jira/browse/GIRAPH824?page=com.atlassian.jira.plugin.system.issuetabpanels:alltabpanel
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George Valkanas updated GIRAPH824:

Description:
In certain cases, running multiple random walks on the same graph may be desired (e.g., the
centerpiece algorithm). The current implementation(s) for random walks on graphs are designed
for a single random walk. Therefore, running multiple random walks can be done sequentially
or by spawning multiple independent random walks, which can be inefficient and harder to manage
within GIRAPH.
The idea is to extend the basic Random Walk examples so that the vertices are aware that they
participate in multiple random walks at the same time.
was:
In certain cases, running multiple random walks on the same graph may be desired. The current
implementation(s) for random walks on graphs, are designed for a single random walk.
Implemented the more general case, where each node maintains and propagates data for all the
random walks that run concurrently.
> Concurrent Random Walks on Graphs
> 
>
> Key: GIRAPH824
> URL: https://issues.apache.org/jira/browse/GIRAPH824
> Project: Giraph
> Issue Type: New Feature
> Components: examples
> Affects Versions: 1.1.0
> Reporter: George Valkanas
> Labels: examples, graph, multiple, randomwalk
> Attachments: ConcurrentPageRankComputation.java, ConcurrentRandomWalksComputation.java,
ConcurrentRandomWalksVertexMasterCompute.java, ConcurrentRandomWalksWithRestartComputation.java,
ConcurrentRandomWalksWorkerContext.java
>
>
> In certain cases, running multiple random walks on the same graph may be desired (e.g.,
the centerpiece algorithm). The current implementation(s) for random walks on graphs are designed
for a single random walk. Therefore, running multiple random walks can be done sequentially
or by spawning multiple independent random walks, which can be inefficient and harder to manage
within GIRAPH.
> The idea is to extend the basic Random Walk examples so that the vertices are aware that
they participate in multiple random walks at the same time.

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