zeppelin-test-network-visualization.json

{"paragraphs":[{"text":"%md\n\n### This notebook explains how to use the the new NETWORK visualization that leverages the Labelled Property Graph Model.\n\n#### What is the Labelled Property Graph Model?\n\nA [Property Graph](https://github.com/tinkerpop/gremlin/wiki/Defining-a-Property-Graph) is a graph that has these elements:\n\n* a set of vertices\n    * each vertex has a unique identifier.\n    * each vertex has a set of outgoing edges.\n    * each vertex has a set of incoming edges.\n    * each vertex has a collection of properties defined by a map from key to value\n* a set of edges\n    * each edge has a unique identifier.\n    * each edge has an outgoing tail vertex.\n    * each edge has an incoming head vertex.\n    * each edge has a label that denotes the type of relationship between its two vertices.\n    * each edge has a collection of properties defined by a map from key to value.\n\n![Property Graph](https://github.com/tinkerpop/gremlin/raw/master/doc/images/graph-example-1.jpg)\n\nA [Labelled Property Graph](https://neo4j.com/developer/graph-database/#property-graph) is a Property Graph where the nodes can be tagged with **labels** representing their different roles in the graph model\n\n![Labelled Property Graph](http://s3.amazonaws.com/dev.assets.neo4j.com/wp-content/uploads/property_graph_model.png)\n\nThis kind of graph can be easily *flatten* in order to support other visualization formats provided by Zeppelin.\n\nUse the mouse wheel to zoom-in/out and show the node and edge labels.","user":"anonymous","dateUpdated":"2017-11-05T14:47:31+0100","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true},"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"results":{"1":{"graph":{"mode":"network","height":300,"optionOpen":true,"setting":{"network":{"properties":{"User":{"selected":"fullname","keys":["fullname","id","label"]}},"d3Graph":{"forceLayout":{"timeout":10000,"charge":-120,"linkDistance":80},"zoom":{"minScale":"1"}}}},"commonSetting":{}},"helium":{}}},"enabled":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<div class=\"markdown-body\">\n<h3>This notebook explains how to use the the new NETWORK visualization that leverages the Labelled Property Graph Model.</h3>\n<h4>What is the Labelled Property Graph Model?</h4>\n<p>A <a href=\"https://github.com/tinkerpop/gremlin/wiki/Defining-a-Property-Graph\">Property Graph</a> is a graph that has these elements:</p>\n<ul>\n  <li>a set of vertices\n    <ul>\n      <li>each vertex has a unique identifier.</li>\n      <li>each vertex has a set of outgoing edges.</li>\n      <li>each vertex has a set of incoming edges.</li>\n      <li>each vertex has a collection of properties defined by a map from key to value</li>\n    </ul>\n  </li>\n  <li>a set of edges\n    <ul>\n      <li>each edge has a unique identifier.</li>\n      <li>each edge has an outgoing tail vertex.</li>\n      <li>each edge has an incoming head vertex.</li>\n      <li>each edge has a label that denotes the type of relationship between its two vertices.</li>\n      <li>each edge has a collection of properties defined by a map from key to value.</li>\n    </ul>\n  </li>\n</ul>\n<p><img src=\"https://github.com/tinkerpop/gremlin/raw/master/doc/images/graph-example-1.jpg\" alt=\"Property Graph\" /></p>\n<p>A <a href=\"https://neo4j.com/developer/graph-database/#property-graph\">Labelled Property Graph</a> is a Property Graph where the nodes can be tagged with <strong>labels</strong> representing their different roles in the graph model</p>\n<p><img src=\"http://s3.amazonaws.com/dev.assets.neo4j.com/wp-content/uploads/property_graph_model.png\" alt=\"Labelled Property Graph\" /></p>\n<p>This kind of graph can be easily <em>flatten</em> in order to support other visualization formats provided by Zeppelin.</p>\n<p>Use the mouse wheel to zoom-in/out and show the node and edge labels.</p>\n</div>"}]},"apps":[],"jobName":"paragraph_1509878239761_-1750973886","id":"20170306-114640_339624813","dateCreated":"2017-11-05T11:37:19+0100","dateStarted":"2017-11-05T14:47:31+0100","dateFinished":"2017-11-05T14:47:44+0100","status":"FINISHED","progressUpdateIntervalMs":500,"focus":true,"$$hashKey":"object:205"},{"text":"%md\nThe new NETWORK visualization is based on json with the following params:\n\n* \"nodes\" (mandatory): list of nodes of the graph every node can have the following params:\n    * \"id\" (mandatory): the id of the node (must be unique);\n    * \"label\": the main Label of the node;\n    * \"labels\": the list of the labels of the node;\n    * \"data\": the data attached to the node;\n* \"edges\": list of the edges of the graph;\n    * \"id\" (mandatory): the id of the edge (must be unique);\n    * \"source\" (mandatory): the id of source node of the edge;\n    * \"target\" (mandatory): the id of target node of the edge;\n    * \"label\": the main type of the edge;\n    * \"data\": the data attached to the edge;\n* \"labels\": a map (K, V) where K is the node label and V is the color of the node;\n* \"directed\": (true/false) wich tells if is directed graph or not\n* \"types\": a *distinct* list of the edge types of the graph\n\nIf you click on a node or edge on the bottom of the paragraph you find a list of entity properties","user":"anonymous","dateUpdated":"2017-11-05T14:47:44+0100","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true},"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"results":{},"enabled":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<div class=\"markdown-body\">\n<p>The new NETWORK visualization is based on json with the following params:</p>\n<ul>\n  <li>&ldquo;nodes&rdquo; (mandatory): list of nodes of the graph every node can have the following params:\n    <ul>\n      <li>&ldquo;id&rdquo; (mandatory): the id of the node (must be unique);</li>\n      <li>&ldquo;label&rdquo;: the main Label of the node;</li>\n      <li>&ldquo;labels&rdquo;: the list of the labels of the node;</li>\n      <li>&ldquo;data&rdquo;: the data attached to the node;</li>\n    </ul>\n  </li>\n  <li>&ldquo;edges&rdquo;: list of the edges of the graph;\n    <ul>\n      <li>&ldquo;id&rdquo; (mandatory): the id of the edge (must be unique);</li>\n      <li>&ldquo;source&rdquo; (mandatory): the id of source node of the edge;</li>\n      <li>&ldquo;target&rdquo; (mandatory): the id of target node of the edge;</li>\n      <li>&ldquo;label&rdquo;: the main type of the edge;</li>\n      <li>&ldquo;data&rdquo;: the data attached to the edge;</li>\n    </ul>\n  </li>\n  <li>&ldquo;labels&rdquo;: a map (K, V) where K is the node label and V is the color of the node;</li>\n  <li>&ldquo;directed&rdquo;: (true/false) wich tells if is directed graph or not</li>\n  <li>&ldquo;types&rdquo;: a <em>distinct</em> list of the edge types of the graph</li>\n</ul>\n<p>If you click on a node or edge on the bottom of the paragraph you find a list of entity properties</p>\n</div>"}]},"apps":[],"jobName":"paragraph_1509878239763_1503491657","id":"20170306-221839_1330218496","dateCreated":"2017-11-05T11:37:19+0100","dateStarted":"2017-11-05T14:47:45+0100","dateFinished":"2017-11-05T14:47:45+0100","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:206"},{"text":"%md\nYou can use this javascript code to generate complex, random, graphs:\n```javascript\nlet generateGraph = (numOfNodes, numOfEdges) => {\n  let getRandomInt = (min, max) => {\n    min = Math.ceil(min);\n    max = Math.floor(max);\n    return Math.floor(Math.random() * (max - min)) + min;\n  };\n  let graph = {\n    nodes: [...Array(numOfNodes).keys()].map((i) => { return {\"id\": i, \"data\": {\"name\": \"Name \" + i, \"age\": getRandomInt(25, 70)}}; }),\n    edges: [...Array(numOfEdges).keys()].map((i) => { return {\"id\": i, \"source\": getRandomInt(0, numOfNodes), \"target\": getRandomInt(0, numOfNodes), \"data\": {\"property\": \"Property \" + i }}; })\n  };\n  return JSON.stringify(graph);\n};\n\n//generate a random graph\ngenerateGraph(300, 600);\n```","user":"anonymous","dateUpdated":"2017-11-05T14:47:45+0100","config":{"tableHide":false,"editorSetting":{"language":"markdown","editOnDblClick":true},"colWidth":12,"editorMode":"ace/mode/markdown","editorHide":true,"results":{},"enabled":true,"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"HTML","data":"<div class=\"markdown-body\">\n<p>You can use this javascript code to generate complex, random, graphs:</p>\n<pre><code class=\"javascript\">let generateGraph = (numOfNodes, numOfEdges) =&gt; {\n  let getRandomInt = (min, max) =&gt; {\n    min = Math.ceil(min);\n    max = Math.floor(max);\n    return Math.floor(Math.random() * (max - min)) + min;\n  };\n  let graph = {\n    nodes: [...Array(numOfNodes).keys()].map((i) =&gt; { return {&quot;id&quot;: i, &quot;data&quot;: {&quot;name&quot;: &quot;Name &quot; + i, &quot;age&quot;: getRandomInt(25, 70)}}; }),\n    edges: [...Array(numOfEdges).keys()].map((i) =&gt; { return {&quot;id&quot;: i, &quot;source&quot;: getRandomInt(0, numOfNodes), &quot;target&quot;: getRandomInt(0, numOfNodes), &quot;data&quot;: {&quot;property&quot;: &quot;Property &quot; + i }}; })\n  };\n  return JSON.stringify(graph);\n};\n\n//generate a random graph\ngenerateGraph(300, 600);\n</code></pre>\n</div>"}]},"apps":[],"jobName":"paragraph_1509878239764_1103976461","id":"20170306-232423_1305579255","dateCreated":"2017-11-05T11:37:19+0100","dateStarted":"2017-11-05T14:47:46+0100","dateFinished":"2017-11-05T14:47:46+0100","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:207"},{"text":"%spark\r\nprint(s\"\"\"\r\n%network {\r\n    \"nodes\": [{\"id\": 1, \"label\": \"User\", \"data\": {\"fullName\":\"Andrea Santurbano\"}},{\"id\": 2, \"label\": \"User\", \"data\": {\"fullName\":\"Lee Moon Soo\"}},{\"id\": 3, \"label\": \"Project\", \"data\": {\"name\":\"Zeppelin\"}}],\r\n    \"edges\": [{\"source\": 2, \"target\": 1, \"id\" : 1, \"label\": \"HELPS\"},{\"source\": 2, \"target\": 3, \"id\" : 2, \"label\": \"CREATE\"},{\"source\": 1, \"target\": 3, \"id\" : 3, \"label\": \"CONTRIBUTE_TO\", \"data\": {\"oldPR\": \"https://github.com/apache/zeppelin/pull/1582\"}}],\r\n\t\"labels\": {\"User\": \"#8BC34A\", \"Project\": \"#3071A9\"},\r\n\t\"directed\": true,\r\n\t\"types\": [\"HELPS\", \"CREATE\", \"CONTRIBUTE_TO\"]\r\n}\r\n\"\"\")","user":"anonymous","dateUpdated":"2017-11-05T15:59:55+0100","config":{"colWidth":12,"editorMode":"ace/mode/scala","results":{"1":{"graph":{"mode":"network","height":181,"optionOpen":false,"setting":{"multiBarChart":{},"network":{"properties":{"User":{"selected":"fullName","keys":["fullName","id","label"]},"Project":{"selected":"name","keys":["name","id","label"]}},"d3Graph":{"forceLayout":{"timeout":10000,"charge":-120,"linkDistance":"120"},"zoom":{"minScale":"1"}}},"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"id":"string","label":"string","fullName":"string","name":"string","oldPR":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false}},"commonSetting":{},"keys":[{"name":"label","index":1,"aggr":"sum"}],"groups":[],"values":[{"name":"label","index":1,"aggr":"count"}]},"helium":{}}},"enabled":true,"editorSetting":{"language":"scala","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\n"},{"type":"NETWORK","data":"{\n    \"nodes\": [{\"id\": 1, \"label\": \"User\", \"data\": {\"fullName\":\"Andrea Santurbano\"}},{\"id\": 2, \"label\": \"User\", \"data\": {\"fullName\":\"Lee Moon Soo\"}},{\"id\": 3, \"label\": \"Project\", \"data\": {\"name\":\"Zeppelin\"}}],\n    \"edges\": [{\"source\": 2, \"target\": 1, \"id\" : 1, \"label\": \"HELPS\"},{\"source\": 2, \"target\": 3, \"id\" : 2, \"label\": \"CREATE\"},{\"source\": 1, \"target\": 3, \"id\" : 3, \"label\": \"CONTRIBUTE_TO\", \"data\": {\"oldPR\": \"https://github.com/apache/zeppelin/pull/1582\"}}],\n\t\"labels\": {\"User\": \"#8BC34A\", \"Project\": \"#3071A9\"},\n\t\"directed\": true,\n\t\"types\": [\"HELPS\", \"CREATE\", \"CONTRIBUTE_TO\"]\n}\n"}]},"apps":[],"jobName":"paragraph_1509878239764_-1401163556","id":"20170306-114736_1000977099","dateCreated":"2017-11-05T11:37:19+0100","dateStarted":"2017-11-05T15:59:55+0100","dateFinished":"2017-11-05T15:59:55+0100","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:208"},{"text":"%spark\r\nprint(s\"\"\"\r\n%network {\r\n    \"nodes\": [\r\n        {\"id\": 1, \"label\": \"Label 1\", \"data\": {\"source\": \"Source\"}},\r\n        {\"id\": 2, \"label\": \"Label 2\", \"data\": {\"target\": \"Target\"}},\r\n        {\"id\": 3, \"label\": \"Label 3\", \"data\": {\"source\": \"Source 3\", \"target\": \"Target 3\"}}\r\n    ],\r\n    \"edges\": [\r\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 1, \"label\": \"LINK_1\", \"data\": {\"source\": \"Source LINK 1\", \"target\": \"Target LINK 1\"}},\r\n\t\t{\"source\": 2, \"target\": 3, \"id\" : 2, \"label\": \"LINK_2\"},\r\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 3, \"label\": \"LINK_3\"},\r\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 4, \"label\": \"LINK_4\"},\r\n\t\t{\"source\": 2, \"target\": 1, \"id\" : 5, \"label\": \"LINK_5\"},\r\n\t\t{\"source\": 2, \"target\": 1, \"id\" : 6, \"label\": \"LINK_6\"}\r\n\t]\r\n}\r\n\"\"\")","user":"anonymous","dateUpdated":"2017-11-05T14:59:59+0100","config":{"colWidth":12,"editorMode":"ace/mode/scala","results":{"1":{"graph":{"mode":"network","height":286,"optionOpen":false,"setting":{"table":{"tableGridState":{},"tableColumnTypeState":{"names":{"id":"string","label":"string","source":"string","target":"string"},"updated":false},"tableOptionSpecHash":"[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]","tableOptionValue":{"useFilter":false,"showPagination":false,"showAggregationFooter":false},"updated":false,"initialized":false},"network":{"properties":{"Label 1":{"selected":"label","keys":["source","id","label"]},"Label 2":{"selected":"label","keys":["target","id","label"]},"Label 3":{"selected":"label","keys":["source","target","id","label"]}},"d3Graph":{"forceLayout":{"timeout":10000,"charge":-120,"linkDistance":"120"},"zoom":{"minScale":1.3}}}},"commonSetting":{}},"helium":{}}},"enabled":true,"editorSetting":{"language":"scala","editOnDblClick":false},"fontSize":9},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"\n"},{"type":"NETWORK","data":"{\n    \"nodes\": [\n        {\"id\": 1, \"label\": \"Label 1\", \"data\": {\"source\": \"Source\"}},\n        {\"id\": 2, \"label\": \"Label 2\", \"data\": {\"target\": \"Target\"}},\n        {\"id\": 3, \"label\": \"Label 3\", \"data\": {\"source\": \"Source 3\", \"target\": \"Target 3\"}}\n    ],\n    \"edges\": [\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 1, \"label\": \"LINK_1\", \"data\": {\"source\": \"Source LINK 1\", \"target\": \"Target LINK 1\"}},\n\t\t{\"source\": 2, \"target\": 3, \"id\" : 2, \"label\": \"LINK_2\"},\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 3, \"label\": \"LINK_3\"},\n\t\t{\"source\": 1, \"target\": 2, \"id\" : 4, \"label\": \"LINK_4\"},\n\t\t{\"source\": 2, \"target\": 1, \"id\" : 5, \"label\": \"LINK_5\"},\n\t\t{\"source\": 2, \"target\": 1, \"id\" : 6, \"label\": \"LINK_6\"}\n\t]\n}\n"}]},"apps":[],"jobName":"paragraph_1509878239764_455456942","id":"20170306-211236_707132958","dateCreated":"2017-11-05T11:37:19+0100","dateStarted":"2017-11-05T14:59:46+0100","dateFinished":"2017-11-05T14:59:46+0100","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:209"},{"text":"%spark\nprint(\"\"\"\n%network\n{\n    \"nodes\":[{\"id\":0,\"data\":{\"comments\":\"A WebGL distributed graph visualization library\",\"name\":\"3dg-viz\",\"url\":\"https://github.com/kbastani/3dg-viz\"},\"label\":\"Resource\"},{\"id\":192,\"data\":{\"name\":\"import\"},\"label\":\"Tag\"},{\"id\":1,\"data\":{\"comments\":\"Easily import data into Neo4j from a relational database\",\"name\":\"RDBMS2Neo4j\",\"url\":\"https://github.com/johnymontana/RDBMS2Neo4j\"},\"label\":\"Resource\"},{\"id\":3,\"data\":{\"comments\":\"The lazy way to run multi-statement Neo4j Cypher scripts from the web\",\"name\":\"LazyWebCypher\",\"url\":\"https://github.com/johnymontana/LazyWebCypher\"},\"label\":\"Resource\"},{\"id\":262,\"data\":{\"name\":\"big data\"},\"label\":\"Tag\"},{\"id\":263,\"data\":{\"name\":\"spark\"},\"label\":\"Tag\"},{\"id\":200,\"data\":{\"name\":\"document\"},\"label\":\"Tag\"},{\"id\":266,\"data\":{\"name\":\"library\"},\"label\":\"Tag\"},{\"id\":281,\"data\":{\"name\":\"classification\"},\"label\":\"Tag\"},{\"id\":224,\"data\":{\"name\":\"nlp\"},\"label\":\"Tag\"},{\"id\":225,\"data\":{\"name\":\"text\"},\"label\":\"Tag\"},{\"id\":100,\"data\":{\"comments\":\"Will Lyon's blog\",\"name\":\"Will Lyon's blog\",\"url\":\"http://www.lyonwj.com/\"},\"label\":\"Resource\"},{\"id\":306,\"data\":{\"name\":\"usa\"},\"label\":\"Tag\"},{\"id\":116,\"data\":{\"comments\":\"Mazerunner extends a Neo4j graph database to run scheduled big data graph compute algorithms at scale with HDFS and Apache Spark.\",\"name\":\"neo4j-mazerunner\",\"url\":\"https://github.com/neo4j-contrib/neo4j-mazerunner\"},\"label\":\"Resource\"},{\"id\":52,\"data\":{\"comments\":\"Graphify is a Neo4j unmanaged extension used for document and text classification using graph-based hierarchical pattern recognition.\",\"name\":\"graphify\",\"url\":\"https://github.com/Graphify/graphify\"},\"label\":\"Resource\"},{\"id\":181,\"data\":{\"name\":\"code\"},\"label\":\"Tag\"},{\"id\":182,\"data\":{\"name\":\"visualization\"},\"label\":\"Tag\"},{\"id\":183,\"data\":{\"name\":\"webgl\"},\"label\":\"Tag\"},{\"id\":120,\"data\":{\"name\":\"Kenny Bastani\"},\"label\":\"Author\"},{\"id\":184,\"data\":{\"name\":\"rdbms\"},\"label\":\"Tag\"},{\"id\":121,\"data\":{\"name\":\"Will Lyon\"},\"label\":\"Author\"},{\"id\":185,\"data\":{\"name\":\"tool\"},\"label\":\"Tag\"},{\"id\":186,\"data\":{\"name\":\"integration\"},\"label\":\"Tag\"},{\"id\":315,\"data\":{\"name\":\"graph algorithms\"},\"label\":\"Tag\"},{\"id\":187,\"data\":{\"name\":\"cypher\"},\"label\":\"Tag\"},{\"id\":252,\"data\":{\"name\":\"blog\"},\"label\":\"Tag\"},{\"id\":188,\"data\":{\"name\":\"script\"},\"label\":\"Tag\"},{\"id\":191,\"data\":{\"name\":\"component\"},\"label\":\"Tag\"}],\n    \"edges\":[{\"source\":120,\"target\":0,\"id\":0,\"label\":\"CREATED\"},{\"source\":121,\"target\":1,\"id\":1,\"label\":\"CREATED\"},{\"source\":121,\"target\":3,\"id\":3,\"label\":\"CREATED\"},{\"source\":3,\"target\":181,\"id\":131,\"label\":\"TAGGED_AS\"},{\"source\":3,\"target\":187,\"id\":132,\"label\":\"TAGGED_AS\"},{\"source\":3,\"target\":188,\"id\":133,\"label\":\"TAGGED_AS\"},{\"source\":100,\"target\":252,\"id\":340,\"label\":\"TAGGED_AS\"},{\"source\":100,\"target\":306,\"id\":471,\"label\":\"TAGGED_AS\"},{\"source\":121,\"target\":100,\"id\":100,\"label\":\"CREATED\"},{\"source\":116,\"target\":315,\"id\":487,\"label\":\"TAGGED_AS\"},{\"source\":52,\"target\":281,\"id\":425,\"label\":\"TAGGED_AS\"},{\"source\":116,\"target\":181,\"id\":366,\"label\":\"TAGGED_AS\"},{\"source\":116,\"target\":262,\"id\":367,\"label\":\"TAGGED_AS\"},{\"source\":116,\"target\":263,\"id\":368,\"label\":\"TAGGED_AS\"},{\"source\":52,\"target\":181,\"id\":241,\"label\":\"TAGGED_AS\"},{\"source\":52,\"target\":191,\"id\":242,\"label\":\"TAGGED_AS\"},{\"source\":52,\"target\":224,\"id\":243,\"label\":\"TAGGED_AS\"},{\"source\":120,\"target\":116,\"id\":116,\"label\":\"CREATED\"},{\"source\":120,\"target\":52,\"id\":52,\"label\":\"CREATED\"},{\"source\":52,\"target\":200,\"id\":244,\"label\":\"TAGGED_AS\"},{\"source\":52,\"target\":225,\"id\":245,\"label\":\"TAGGED_AS\"},{\"source\":0,\"target\":266,\"id\":373,\"label\":\"TAGGED_AS\"},{\"source\":1,\"target\":192,\"id\":374,\"label\":\"TAGGED_AS\"},{\"source\":0,\"target\":181,\"id\":120,\"label\":\"TAGGED_AS\"},{\"source\":3,\"target\":185,\"id\":376,\"label\":\"TAGGED_AS\"},{\"source\":0,\"target\":182,\"id\":121,\"label\":\"TAGGED_AS\"},{\"source\":0,\"target\":183,\"id\":122,\"label\":\"TAGGED_AS\"},{\"source\":1,\"target\":181,\"id\":123,\"label\":\"TAGGED_AS\"},{\"source\":1,\"target\":184,\"id\":124,\"label\":\"TAGGED_AS\"},{\"source\":1,\"target\":185,\"id\":125,\"label\":\"TAGGED_AS\"},{\"source\":1,\"target\":186,\"id\":126,\"label\":\"TAGGED_AS\"}],\n 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