Finding connected components in a graph using BFS I'd like to know how do I change the known BFS algorithm in order to find all of the connected components of a given graph. The original algorithm stops whenever we've colored an entire component in black, but how do I change it in order for it to run through all of the components?  And how do I distinguish between one component to the other? 
 A: Use an integer to keep track of the "colors" that identify each component, as @Joffan mentioned. Start BFS at a vertex $v$. When it finishes, all vertices that are reachable from $v$ are colored (i.e., labeled with a number). Loop through all vertices which are still unlabeled and call BFS on those unlabeled vertices to find other components.
Below is some pseudo-code which initializes all vertices with an unexplored label (an integer 0). It keeps a counter, $componentID$, which vertices are labeled with as they are explored. When a connected component is finished being explored (meaning that the standard BFS has finished), the counter increments. BFS is only called on vertices which belong to a component that has not been explored yet.
// input: graph G
// output: labeling of edges and partition of the vertices of G
LabelAllConnectedComponents(G):
    // initialize all vertices and edges as unexplored (label is 0)
    for all u ∈ G.vertices()
        setLabel(u, UNEXPLORED)
    for all e ∈ G.edges()
        setLabel(e, UNEXPLORED)

    // call BFS on every unlabeled vertex, which results in
    // calling BFS once for each connected component
    componentID = 1
    for all v ∈ G.vertices()
        if getLabel(v) == 0:
            BFS(G, v, componentID++)

// standard breadth-first-search algorithm that works on one component
BFS(G, s, componentID):
    L[0] = new empty sequence
    insert vertex s at the end of L[0]
    setLabel(s, componentID)
    i = 0
    while L[i] is not empty:
        L[i+1] = new empty sequence
        for all v ∈ L[i].elements()
            for all e ∈ G.incidentEdges(v)
                if getLabel(e) == UNEXPLORED
                    w ← opposite(v,e)
                if getLabel(w) == UNEXPLORED
                    setLabel(e, DISCOVERY)
                    setLabel(w, componentID)
                    L[i+1].insertLast(w)
                else
                    setLabel(e, CROSS)
        i = i+1

The total running time is $O(|V| + |E|)$ since each edge and vertex is labeled exactly twice - once to initialize and again when it's visited.
A: Recently I am started with competitive programming so written the code for finding the number of connected components in the un-directed graph. Using BFS.
I have implemented using the adjacency list representation of the graph. The Time complexity of the program is (V + E) same as the complexity of the BFS.
You can maintain the visited array to go through all the connected components of the graph.
Here is my code in C++.
/*
Finding the number of non-connected components in the graph
*/
#include<bits/stdc++.h>
#define pb push_back
using namespace std;


void addEdge(vector<int> vec[],int source,int destination){
    vec[source].pb(destination);
    vec[destination].pb(source);
}

void BFSUtil(vector<bool> &visited ,vector<int> vec[],int i){
    
    list<int> queue;
    
    visited[i] = true;
    queue.pb(i);
    
    vector<int> :: iterator it;
    
    
    if(vec[i].size()==0){
        cout<<"vec["<<i<<"].size(): "<<vec[i].size()<<endl;
        return;
    }
    
    while(!queue.empty()){
        
        i = queue.front();
        cout<<i<<" ";
        queue.pop_front();
        
        for(it = vec[i].begin(); it!= vec[i].end(); it++){
            
            if(visited[*it] == false){
                queue.pb(*it);
                visited[*it] = true;
                
            }
        }
    }
    
}


void BFS(vector<int> vec[],int V){
    
    vector<bool> visited(V,false);
    
    int total_disconnected_components = 0;
    for(int i=0; i<V; i++){
        if(visited[i] == false){
            BFSUtil(visited,vec,i);
            total_disconnected_components++;
        }
    }
    cout<<endl;
    cout<<total_disconnected_components<<endl;
}

int main(){

    int t;
    cin>>t;
    
    while(t--){
        
        int v;
        cin>>v;
        
        vector<int> graph[v];
        
        int e;
        cin>>e;
        for(int i=0; i<e; i++){
            int source,destination;
            cin>>source>>destination;
            addEdge(graph,source,destination);
        }
        BFS(graph,v);
    }
    return 0;
}

Please let me know if any further information needed.
Thank you
Novice in competitive programming
