Fill readme

README.md

@@ -1,2 +1,15 @@
 # spark-graphx
 Spark 2.0 GraphX Social graph analysis
+
+Example of the usage Apache Spark for analysis of social graph of users - 
+like social network with model friend to friend but with fake user names.
+
+Social graph is represented in form user_id -> array of related user's ids,
+file is stored in resources directory - UserGraph.txt
+
+Tested data is stored in resource directory - UserNames.tsv - file in
+format user_id -> user_name, necessary for joining with Graph of contacts.
+
+Examples contains searching of:
+ 1) Most connected user in social graph based on graph degrees
+ 2) Degree of separation for single user based on [Breadth-first search](https://en.wikipedia.org/wiki/Breadth-first_search) with [Pregel](https://stanford.edu/~rezab/classes/cme323/S15/notes/lec8.pdf)

src/main/scala/graphx/GraphX.scala

@@ -39,7 +39,7 @@ class GraphX(sc: SparkContext) {
   private def graph = Graph(verts, edges).cache()
 
   /**
-    * Find most connected user grpah.degrees
+    * Find most connected user graph.degrees
     * @param amount threshold for returning first n user
     * @return most connected user in social graph
     */