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https://issues.apache.org/jira/browse/MAHOUT-710?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated MAHOUT-710:
-----------------------------
Resolution: Fixed
Status: Resolved (was: Patch Available)
Well some good code was already submitted as part of this. An experiment is
worthwhile even if it merely shows something doesn't work. The code and issue
remain here in JIRA. I assume everyone learned a bit as a result. I'd say close
this if there's no indication that there's a submit coming in the near future.
Of course, this can always be found and reopened by the contributors or anyone
that wants to revisit it.
> Implementing K-Trusses
> ----------------------
>
> Key: MAHOUT-710
> URL: https://issues.apache.org/jira/browse/MAHOUT-710
> Project: Mahout
> Issue Type: New Feature
> Components: Graph
> Affects Versions: 0.5
> Reporter: Tillmann Fiehn
> Assignee: Sebastian Schelter
> Fix For: 0.6
>
> Attachments:
> 0001-SimplifyGraph_AugmentEdgesWithDegrees_EnumerateTriangles_workfine.patch,
> 0002-FindComponents_FindKTrusses_workfine.patch
>
> Original Estimate: 672h
> Remaining Estimate: 672h
>
> We are Tillmann Fiehn and Sebastian Arnold, IT students from TU Berlin. As
> Sebastian Schelter already announced, we are atteding Isabel's and
> Sebastian's class "Large scale data analysis and data mining" and picked an
> interesting project that we want to implement in Mahout. We are open for any
> hints and suggestions and would appreciate if you could share your thoughts
> on our proposal.
> Our goal is to implement a map/reduce algorithm for finding k-trusses in a
> given graph. A k-truss is a nontrivial, single-component maximal subgraph,
> such that every edge is contained in at least k-2 triangles in the subgraph.
> The algorithm was proposed in the IEEE paper J. Cohen 2009: "Graph Twiddling
> in a MapReduce World"
> (http://www.csee.usf.edu/~anda/CIS6930-S11/papers/graph-processing-w-mapreduce.pdf)
> and involves a number of graph algorithms that are to our knowledge
> currently not present in Mahout:
> *Goal: finding K-Trusses*
> * relaxation of k-member clique
> * non-trivial, single-component maximal subgraph, s.t.
> * every edge is contained in at least k-2 triangles in the subgraph
> *Algorithms to be implemented on top of Mahout / Hadoop:*
> *simplifyGraph*: Edges -> RepresentativeEdges
> * removes Loops (not cycles)
> * aggregate duplicate edges
> *augmentGraphWithDegrees*: RepresentativeEdges -> AugmentedEdges = (Edge (v,
> u) , d(v), d(u))
> * augements the edges with degree information for both nodes d(v) = |{E | E =
> (x,y) a. (x = v o. y = v) }|
> *enumerateTriangles*: AugmentedEdges = (Edge, d(v), d(u)) -> Triangles (v,
> u, s)
> * finds all triangles in a Graph
> *findComponents*: RepresentativeEdges -> ZoneAssignments (v, z)
> * finds all components of a graph, each identified as the order number of the
> lowest-order vertex contained
> * consists of:
> ** step 1: find adjacent zones: Edges x Zones -> InterzoneEdges (z, z)
> ** step 2: merge adjacent zones into one (the lowest-order neighbouring
> zone): InterzoneEdges, ZoneAssignments (v, z) -> Pairs (v, z)
> {noformat}
> while true do:
> step 1
> if empty set interzone edges break;
> step 2
> done
> {noformat}
> *findKTrusses*: Edges, k -> ZoneAssignments (v, z)
> * finds all k-trusses of the graph
> * each returned vertex v is part of a truss z
> {noformat}
> simplifyGraph
> while true do:
> augmentGraphWithDegrees
> enumerateTriangles
> keep only edges contained in k-2 triangles
> if all edges kept break;
> done
> findComponents
> {noformat}
> We suppose to create the package {{org.apache.mahout.graph.trusses}} and
> {{org.apache.mahout.graph.components}} in the {{core}} module.
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