Return metapaths for a random source and target node for which at least one metapath with path count information exists in the database.

GET /v1/metapaths/random-nodes/?format=api
HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "source": {
        "id": 4983,
        "identifier": "GO:0005788",
        "identifier_type": "str",
        "name": "endoplasmic reticulum lumen",
        "properties": {
            "url": "http://purl.obolibrary.org/obo/GO_0005788",
            "source": "Gene Ontology",
            "license": "CC BY 4.0"
        },
        "metanode": "Cellular Component"
    },
    "target": {
        "id": 41238,
        "identifier": "399979",
        "identifier_type": "int",
        "name": "SNX19",
        "properties": {
            "url": "http://identifiers.org/ncbigene/399979",
            "source": "Entrez Gene",
            "license": "CC0 1.0",
            "chromosome": "11",
            "description": "sorting nexin 19"
        },
        "metanode": "Gene"
    },
    "path_counts": [
        {
            "id": 94879044,
            "adjusted_p_value": 1.8126931688372656e-18,
            "path_count": 4876,
            "dwpc": 2.575831853756317,
            "p_value": 3.856793976249501e-20,
            "reversed": false,
            "metapath_abbreviation": "CCpGeAeG",
            "metapath_name": "Cellular Component–participates–Gene–expresses–Anatomy–expresses–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.8615139999999999,
            "metapath_path_count_mean": 745.4119999999999,
            "metapath_path_count_max": 33011,
            "metapath_dwpc_raw_mean": 7.8784e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGeAeG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "expresses",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "expresses",
                    "both"
                ]
            ],
            "dgp_id": 20119746,
            "dgp_source_degree": 202,
            "dgp_target_degree": 44,
            "dgp_n_dwpcs": 59000,
            "dgp_n_nonzero_dwpcs": 59000,
            "dgp_nonzero_mean": 2.152007603575844,
            "dgp_nonzero_sd": 0.04377566404667656,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:EXPRESSES_AeG]-(n2)-[:EXPRESSES_AeG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n2)),\nsize((n2)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 142194107,
            "adjusted_p_value": 2.982569734311657e-14,
            "path_count": 435,
            "dwpc": 2.939510374566444,
            "p_value": 6.345893051726929e-16,
            "reversed": false,
            "metapath_abbreviation": "CCpGuAdG",
            "metapath_name": "Cellular Component–participates–Gene–upregulates–Anatomy–downregulates–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.6718649999999999,
            "metapath_path_count_mean": 48.0861,
            "metapath_path_count_max": 5370,
            "metapath_dwpc_raw_mean": 6.54443e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGuAdG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "upregulates",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "downregulates",
                    "both"
                ]
            ],
            "dgp_id": 21282601,
            "dgp_source_degree": 202,
            "dgp_target_degree": 8,
            "dgp_n_dwpcs": 196000,
            "dgp_n_nonzero_dwpcs": 196000,
            "dgp_nonzero_mean": 2.2095781588058463,
            "dgp_nonzero_sd": 0.0829259906399968,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:UPREGULATES_AuG]-(n2)-[:DOWNREGULATES_AdG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:UPREGULATES_AuG]-()),\nsize(()-[:UPREGULATES_AuG]-(n2)),\nsize((n2)-[:DOWNREGULATES_AdG]-()),\nsize(()-[:DOWNREGULATES_AdG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 116238682,
            "adjusted_p_value": 1.511535329134801e-11,
            "path_count": 401,
            "dwpc": 2.875226668259003,
            "p_value": 3.2160326151804274e-13,
            "reversed": false,
            "metapath_abbreviation": "CCpGdAuG",
            "metapath_name": "Cellular Component–participates–Gene–downregulates–Anatomy–upregulates–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.708364,
            "metapath_path_count_mean": 49.438,
            "metapath_path_count_max": 5394,
            "metapath_dwpc_raw_mean": 6.599810000000001e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGdAuG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "downregulates",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "upregulates",
                    "both"
                ]
            ],
            "dgp_id": 19907519,
            "dgp_source_degree": 202,
            "dgp_target_degree": 7,
            "dgp_n_dwpcs": 295200,
            "dgp_n_nonzero_dwpcs": 295200,
            "dgp_nonzero_mean": 2.1339417079923475,
            "dgp_nonzero_sd": 0.09328816839700389,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:DOWNREGULATES_AdG]-(n2)-[:UPREGULATES_AuG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:DOWNREGULATES_AdG]-()),\nsize(()-[:DOWNREGULATES_AdG]-(n2)),\nsize((n2)-[:UPREGULATES_AuG]-()),\nsize(()-[:UPREGULATES_AuG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 1003023,
            "adjusted_p_value": 1.9080782317260643e-07,
            "path_count": 973,
            "dwpc": 2.785073418374439,
            "p_value": 4.059740918566094e-09,
            "reversed": false,
            "metapath_abbreviation": "CCpGeAdG",
            "metapath_name": "Cellular Component–participates–Gene–expresses–Anatomy–downregulates–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.715659,
            "metapath_path_count_mean": 153.58700000000002,
            "metapath_path_count_max": 17610,
            "metapath_dwpc_raw_mean": 5.2511899999999994e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGeAdG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "expresses",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "downregulates",
                    "both"
                ]
            ],
            "dgp_id": 20103606,
            "dgp_source_degree": 202,
            "dgp_target_degree": 8,
            "dgp_n_dwpcs": 196000,
            "dgp_n_nonzero_dwpcs": 196000,
            "dgp_nonzero_mean": 2.247867942940982,
            "dgp_nonzero_sd": 0.08682578326065328,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:EXPRESSES_AeG]-(n2)-[:DOWNREGULATES_AdG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n2)),\nsize((n2)-[:DOWNREGULATES_AdG]-()),\nsize(()-[:DOWNREGULATES_AdG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 41773455,
            "adjusted_p_value": 4.425796414278618e-05,
            "path_count": 865,
            "dwpc": 2.504187189637776,
            "p_value": 9.416588115486421e-07,
            "reversed": false,
            "metapath_abbreviation": "CCpGeAuG",
            "metapath_name": "Cellular Component–participates–Gene–expresses–Anatomy–upregulates–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.755686,
            "metapath_path_count_mean": 149.95600000000002,
            "metapath_path_count_max": 13442,
            "metapath_dwpc_raw_mean": 5.6072e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGeAuG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "expresses",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "upregulates",
                    "both"
                ]
            ],
            "dgp_id": 20143694,
            "dgp_source_degree": 202,
            "dgp_target_degree": 7,
            "dgp_n_dwpcs": 295200,
            "dgp_n_nonzero_dwpcs": 295200,
            "dgp_nonzero_mean": 2.1659689749088833,
            "dgp_nonzero_sd": 0.06772739781864723,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:EXPRESSES_AeG]-(n2)-[:UPREGULATES_AuG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n2)),\nsize((n2)-[:UPREGULATES_AuG]-()),\nsize(()-[:UPREGULATES_AuG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 96506817,
            "adjusted_p_value": 7.611633550333899e-05,
            "path_count": 1007,
            "dwpc": 2.5855998541916376,
            "p_value": 1.6194965000710425e-06,
            "reversed": false,
            "metapath_abbreviation": "CCpGuAeG",
            "metapath_name": "Cellular Component–participates–Gene–upregulates–Anatomy–expresses–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.817075,
            "metapath_path_count_mean": 145.012,
            "metapath_path_count_max": 5974,
            "metapath_dwpc_raw_mean": 5.4813500000000006e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGuAeG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "upregulates",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "expresses",
                    "both"
                ]
            ],
            "dgp_id": 21298741,
            "dgp_source_degree": 202,
            "dgp_target_degree": 44,
            "dgp_n_dwpcs": 59000,
            "dgp_n_nonzero_dwpcs": 59000,
            "dgp_nonzero_mean": 2.1863473639099853,
            "dgp_nonzero_sd": 0.08125405088206927,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:UPREGULATES_AuG]-(n2)-[:EXPRESSES_AeG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:UPREGULATES_AuG]-()),\nsize(()-[:UPREGULATES_AuG]-(n2)),\nsize((n2)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 48568380,
            "adjusted_p_value": 0.0006103889903631765,
            "path_count": 948,
            "dwpc": 2.59123904220012,
            "p_value": 1.2986999794961202e-05,
            "reversed": false,
            "metapath_abbreviation": "CCpGdAeG",
            "metapath_name": "Cellular Component–participates–Gene–downregulates–Anatomy–expresses–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.815055,
            "metapath_path_count_mean": 152.89700000000002,
            "metapath_path_count_max": 7613,
            "metapath_dwpc_raw_mean": 5.15742e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGdAeG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Anatomy",
                    "downregulates",
                    "both"
                ],
                [
                    "Anatomy",
                    "Gene",
                    "expresses",
                    "both"
                ]
            ],
            "dgp_id": 19883571,
            "dgp_source_degree": 202,
            "dgp_target_degree": 44,
            "dgp_n_dwpcs": 59000,
            "dgp_n_nonzero_dwpcs": 59000,
            "dgp_nonzero_mean": 2.2045497295463763,
            "dgp_nonzero_sd": 0.08731975990243133,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:DOWNREGULATES_AdG]-(n2)-[:EXPRESSES_AeG]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:DOWNREGULATES_AdG]-()),\nsize(()-[:DOWNREGULATES_AdG]-(n2)),\nsize((n2)-[:EXPRESSES_AeG]-()),\nsize(()-[:EXPRESSES_AeG]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        },
        {
            "id": 127678987,
            "adjusted_p_value": 0.025931246851363388,
            "path_count": 174,
            "dwpc": 2.6591176320111334,
            "p_value": 0.000551728656411987,
            "reversed": false,
            "metapath_abbreviation": "CCpGpBPpG",
            "metapath_name": "Cellular Component–participates–Gene–participates–Biological Process–participates–Gene",
            "metapath_length": 3,
            "metapath_path_count_density": 0.460679,
            "metapath_path_count_mean": 48.3325,
            "metapath_path_count_max": 25228,
            "metapath_dwpc_raw_mean": 7.24431e-05,
            "metapath_n_similar": 47,
            "metapath_p_threshold": 0.0006131262328590808,
            "metapath_id": "CCpGpBPpG",
            "metapath_reversed": false,
            "metapath_metaedges": [
                [
                    "Cellular Component",
                    "Gene",
                    "participates",
                    "both"
                ],
                [
                    "Gene",
                    "Biological Process",
                    "participates",
                    "both"
                ],
                [
                    "Biological Process",
                    "Gene",
                    "participates",
                    "both"
                ]
            ],
            "dgp_id": 20723779,
            "dgp_source_degree": 202,
            "dgp_target_degree": 21,
            "dgp_n_dwpcs": 46800,
            "dgp_n_nonzero_dwpcs": 46800,
            "dgp_nonzero_mean": 1.8799128971307266,
            "dgp_nonzero_sd": 0.21447130001493692,
            "dgp_reversed": false,
            "cypher_query": "MATCH path = (n0:CellularComponent)-[:PARTICIPATES_GpCC]-(n1)-[:PARTICIPATES_GpBP]-(n2)-[:PARTICIPATES_GpBP]-(n3:Gene)\nUSING JOIN ON n1\nWHERE n0.identifier = 'GO:0005788' // endoplasmic reticulum lumen\nAND n3.identifier = 399979 // SNX19\nAND n1 <> n3\nWITH\n[\nsize((n0)-[:PARTICIPATES_GpCC]-()),\nsize(()-[:PARTICIPATES_GpCC]-(n1)),\nsize((n1)-[:PARTICIPATES_GpBP]-()),\nsize(()-[:PARTICIPATES_GpBP]-(n2)),\nsize((n2)-[:PARTICIPATES_GpBP]-()),\nsize(()-[:PARTICIPATES_GpBP]-(n3))\n] AS degrees, path\nWITH path, reduce(pdp = 1.0, d in degrees| pdp * d ^ -0.5) AS PDP\nWITH collect({paths: path, PDPs: PDP}) AS data_maps, count(path) AS PC, sum(PDP) AS DWPC\nUNWIND data_maps AS data_map\nWITH data_map.paths AS path, data_map.PDPs AS PDP, PC, DWPC\nRETURN\n  path AS neo4j_path,\n  substring(reduce(s = '', node IN nodes(path)| s + '–' + node.name), 1) AS path,\n  PDP,\n  100 * (PDP / DWPC) AS percent_of_DWPC\nORDER BY percent_of_DWPC DESC\nLIMIT 10"
        }
    ],
    "n_metapaths": 8,
    "pathcount_table_random_id": 142194107,
    "pathcount_table_max_id": 169602979
}