fix some variable (#23)

Author: Nicole00

nebula-algorithm/src/main/scala/com/vesoft/nebula/algorithm/config/Configs.scala

@@ -355,12 +355,12 @@ object AlgoConstants {
   val LPA_RESULT_COL: String                = "lpa"
   val CC_RESULT_COL: String                 = "cc"
   val SCC_RESULT_COL: String                = "scc"
-  val BETWEENNESS_RESULT_COL: String        = "betweennedss"
+  val BETWEENNESS_RESULT_COL: String        = "betweenness"
   val SHORTPATH_RESULT_COL: String          = "shortestpath"
   val DEGREE_RESULT_COL: String             = "degree"
   val INDEGREE_RESULT_COL: String           = "inDegree"
   val OUTDEGREE_RESULT_COL: String          = "outDegree"
-  val TRIANGLECOUNT_RESULT_COL: String      = "tranglecount"
+  val TRIANGLECOUNT_RESULT_COL: String      = "trianglecount"
   val CLUSTERCOEFFICIENT_RESULT_COL: String = "clustercoefficient"
   val CLOSENESS_RESULT_COL: String          = "closeness"
   val HANP_RESULT_COL: String               = "hanp"

nebula-algorithm/src/main/scala/com/vesoft/nebula/algorithm/lib/KCoreAlgo.scala

@@ -15,7 +15,7 @@ import org.apache.spark.sql.{DataFrame, Dataset, Row, SparkSession}
 object KCoreAlgo {
   private val LOGGER = Logger.getLogger(this.getClass)
 
-  val ALGORITHM: String = "LabelPropagation"
+  val ALGORITHM: String = "KCore"
 
   /**
     * run the louvain algorithm for nebula graph
@@ -42,7 +42,7 @@ object KCoreAlgo {
     var lastVertexNum: Long    = graph.numVertices
     var currentVertexNum: Long = -1
     var isStable: Boolean      = false
-    var iterNum: Int           = 1
+    var iterNum: Int           = 0
 
     var degreeGraph = graph
       .outerJoinVertices(graph.degrees) { (vid, vd, degree) =>

nebula-algorithm/src/main/scala/com/vesoft/nebula/algorithm/lib/Node2vecAlgo.scala

@@ -1,8 +1,7 @@
 /*
  * Copyright (c) 2021. vesoft inc. All rights reserved.
  *
- * This source code is licensed under Apache 2.0 License,
- * attached with Common Clause Condition 1.0, found in the LICENSES directory.
+ * This source code is licensed under Apache 2.0 License.
  */
 
 package com.vesoft.nebula.algorithm.lib
@@ -85,6 +84,7 @@ object Node2vecAlgo {
 
     (J, q)
   }
+
   def setupEdgeAlias(p: Double = 1.0, q: Double = 1.0)(
       srcId: Long,
       srcNeighbors: Array[(Long, Double)],
@@ -100,13 +100,15 @@ object Node2vecAlgo {
 
     setupAlias(neighbors_)
   }
+
   def drawAlias(J: Array[Int], q: Array[Double]): Int = {
     val K  = J.length
     val kk = math.floor(math.random * K).toInt
 
     if (math.random < q(kk)) kk
     else J(kk)
   }
+
   def load(graph: Graph[None.type, Double]): this.type = {
     val bcMaxDegree = context.broadcast(node2vecConfig.degree)
     val bcEdgeCreator = node2vecConfig.directed match {
@@ -145,6 +147,7 @@ object Node2vecAlgo {
       .cache
     this
   }
+
   def initTransitionProb(): this.type = {
     val bcP = context.broadcast(node2vecConfig.p)
     val bcQ = context.broadcast(node2vecConfig.q)
@@ -172,6 +175,7 @@ object Node2vecAlgo {
 
     this
   }
+
   def randomWalk(): this.type = {
     val edge2attr = graph.triplets
       .map { edgeTriplet =>
@@ -230,9 +234,9 @@ object Node2vecAlgo {
         randomWalkPaths = randomWalk
       }
     }
-
     this
   }
+
   def embedding(): this.type = {
     val randomPaths = randomWalkPaths
       .map {