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v5.0
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    v5.0

      Common Neighbors

      HDC

      Overview

      The Common Neighbors algorithm computes the number of common neighbors between two nodes as a measure of their similarity.

      The logic behind this algorithm is that if two nodes have a high number of neighbors in common, they are likely to be similar or connected in some meaningful way. It is computed using the following formula:

      where N(x) and N(y) are the sets of adjacent nodes to nodes x and y respectively.

      More common neighbors indicate greater similarity between nodes, while a number of 0 indicates no similarity between two nodes.

      In this example, CN(D,E) = |N(D) ∩ N(E)| = |{B, F}| = 2.

      Considerations

      • The Common Neighbors algorithm ignores the direction of edges but calculates them as undirected edges.

      Example Graph

      To create this graph:

      // Runs each row separately in order in an empty graphset
      insert().into(@default).nodes([{_id:"A"}, {_id:"B"}, {_id:"C"}, {_id:"D"}, {_id:"E"}, {_id:"F"}, {_id:"G"}])
      insert().into(@default).edges([{_from:"A", _to:"B"}, {_from:"B", _to:"E"}, {_from:"C", _to:"B"}, {_from:"C", _to:"D"}, {_from:"C", _to:"F"}, {_from:"D", _to:"B"}, {_from:"D", _to:"E"}, {_from:"F", _to:"D"}, {_from:"F", _to:"G"}])
      

      Creating HDC Graph

      To load the entire graph to the HDC server hdc-server-1 as hdc_tlp:

      CALL hdc.graph.create("hdc-server-1", "hdc_tlp", {
        nodes: {"*": ["*"]},
        edges: {"*": ["*"]},
        direction: "undirected",
        load_id: true,
        update: "static",
        query: "query",
        default: false
      })
      

      hdc.graph.create("hdc_tlp", {
        nodes: {"*": ["*"]},
        edges: {"*": ["*"]},
        direction: "undirected",
        load_id: true,
        update: "static",
        query: "query",
        default: false
      }).to("hdc-server-1")
      

      Parameters

      Algorithm name: topological_link_prediction

      Name
      Type
      Spec
      Default
      Optional
      Description
      ids []_id / / No Specifies the first group of nodes for computation by their _id; computes for all nodes if it is unset.
      uuids []_uuid / / No Specifies the first group of nodes for computation by their _uuid; computes for all nodes if it is unset.
      ids2 []_id / / No Specifies the second group of nodes for computation by their _id; computes for all nodes if it is unset.
      uuids2 []_uuid / / No Specifies the second group of nodes for computation by their _uuid; computes for all nodes if it is unset.
      type String Common_Neighbors Adamic_Adar No Specifies the similarity type; for Common Neighbors, keep it as Common_Neighbors.
      return_id_uuid String uuid, id, both uuid Yes Includes _uuid, _id, or both to represent nodes in the results.
      limit Integer ≥-1 -1 Yes Limits the number of results returned; -1 includes all results.

      File Writeback

      CALL algo.topological_link_prediction.write("hdc_tlp", {
        params: {
          ids: ["C"],
          ids2: ["A","E","G"],
          type: "Common_Neighbors",
          return_id_uuid: "id"
        },
        return_params: {
          file: {
            filename: "cn.txt"
          }
        }
      })
      

      algo(topological_link_prediction).params({
        project: "hdc_tlp",
        ids: ["C"],
        ids2: ["A","E","G"],
        type: "Common_Neighbors",
        return_id_uuid: "id"
      }).write({
        file: {
          filename: "cn.txt"
        }
      })
      

      Result:

      _id1,_id2,result
      C,A,1
      C,E,2
      C,G,1
      

      Full Return

      CALL algo.topological_link_prediction("hdc_tlp", {
        params: {
          ids: ["C"],
          ids2: ["A","C","E","G"],
          type: "Common_Neighbors",
          return_id_uuid: "id"
        },
        return_params: {}
      }) YIELD cn
      RETURN cn
      

      exec{
        algo(topological_link_prediction).params({
          ids: ["C"],
          ids2: ["A","C","E","G"],
          type: "Common_Neighbors",
          return_id_uuid: "id"
        }) as cn
        return cn
      } on hdc_tlp
      

      Result:

      _id1 _id2 result
      C A 1
      C E 2
      C G 1

      Stream Return

      MATCH (n)
      RETURN collect_list(n._id) AS IdList
      NEXT 
      CALL algo.topological_link_prediction("hdc_tlp", {
        params: {
          ids: ["C"],
          ids2: IdList,
          type: "Common_Neighbors",
          return_id_uuid: "id"
        },
        return_params: {
          stream: {}
        }
      }) YIELD cn
      FILTER cn.result >= 2
      RETURN cn
      

      find().nodes() as n
      with collect(n._id) as IdList
      exec{
        algo(topological_link_prediction).params({
          ids: ["C"],
          ids2: IdList,
          type: "Common_Neighbors",
          return_id_uuid: "id"
        }).stream() as cn
        where cn.result >= 2
        return cn
      } on hdc_tlp
      

      Result:

      _id1 _id2 result
      C D 2
      C E 2
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