How to find all the downstream nodes from a node in a graph?
12 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Mohammad Asif Iqbal Khan
le 8 Juin 2020
Commenté : Christine Tobler
le 1 Avr 2022
Hello All,
Hope you are staying safe and doing well.
I am trying to solve a problem where I would need to figure out all the nodes going downstream from a specified node in a MatLab graph.
For example:
I have this sample code which gives me the following figure
G = graph([1,2,3,4,2,6,7,1,9],[2,3,4,5,6,7,8,9,10]);
plot(G)
Now, I need to know the number/IDs/indexes of nodes going out of node 1 towads 2 and beyond. Like, it should give me that Node 2,3,4,5,6,7,and 8 are connected to a tree branch groing out of 1. Please let me know if there is a way to figure that out.
I have tried the command OUTEDGES and successors. But they only give nodes directly connected to 1.
I would appreciate your help and ideas in this problem. Thank you.
0 commentaires
Réponse acceptée
Walter Roberson
le 8 Juin 2020
Gc = G;
[eid, nid] = outedges(Gc,1);
Gc = rmedge(Gc, eid(nid ~= 2));
downstream_nodes = setdiff(unique(minspantree(Gc,'Root',1).Edges.EndNodes), 1);
3 commentaires
AKHILESH BARNWAL
le 22 Mar 2022
This code generate node IDs downstraem nodes beyond Node 1.
If I have to find node IDs downstraem nodes beyond Node 2 or 6 what should changes we make?
Walter Roberson
le 23 Mar 2022
Modifié(e) : Walter Roberson
le 23 Mar 2022
G = graph([1,2,3,4,2,6,7,1,9],[2,3,4,5,6,7,8,9,10]);
plot(G)
Gc = G;
[eid, nid] = outedges(Gc,2)
downstream_nodes = setdiff(nid, 1) %remove the backlink to 1
Plus de réponses (3)
Christine Tobler
le 8 Juin 2020
You can call
nearest(G, 1, Inf)
which will find all nodes reachable from node 1 in an infinite radius. This will contain only the reachable nodes.
1 commentaire
Walter Roberson
le 8 Juin 2020
... Though you still need to remove the (1,9) edge first; or more generally all edges from 1 that are not connected to 2
(since the user only wants to know what is "going out of node 1 towads 2 and beyond")
Christine Tobler
le 23 Mar 2022
Looking at this again due to the recent comment added, it might be simpler to use a directed graph instead of an undirected one: This way, the concept of "downstream" is represented by "following the arrows".
G = digraph([1,2,3,4,2,6,7,1,9],[2,3,4,5,6,7,8,9,10]);
plot(G)
nearest(G, 1, Inf)
nearest(G, 2, Inf)
nearest(G, 6, Inf)
3 commentaires
Walter Roberson
le 29 Mar 2022
"Beyond" will need to be more clearly defined for this purpose, since there might be backwards links.
Christine Tobler
le 1 Avr 2022
Assuming we agree "downstream" means "in the direction of the edges of this digraph", the nodes are already returned by the nearest function above. As Walter mentioned, I'm also assuming that you have no cycles in this directed graph, like is the case for your example.
For edges / branches, it's not as straightforward, the easiest is probably to just get all edges connected to one of the downstream nodes:
G = digraph([1,2,3,4,2,6,7,1,9],[2,3,4,5,6,7,8,9,10]);
plot(G, 'EdgeLabel', 1:numedges(G))
node = 2;
downstreamNodes = nearest(G, node, Inf)
downstreamEdges = outedges(G, node);
for ii=1:length(downstreamNodes)
downstreamEdges = [downstreamEdges; outedges(G, downstreamNodes(ii))];
end
downstreamEdges
Steven Lord
le 8 Juin 2020
You want to find all nodes reachable from 1? Those nodes have a finite distance from 1. I'm removing node 1 itself from the list (which is what D > 0 is for.)
G = graph([1,2,3,4,2,6,7,1,9],[2,3,4,5,6,7,8,9,10]);
D = distances(G, 1);
reachable = find(isfinite(D) & D > 0)
In your original graph all nodes (other than 1) are reachable from 1. Let's operate on a slightly different graph, one where there is no edge between say 7 and 8.
G2 = rmedge(G, 7, 8);
D2 = distances(G2, 1);
reachable2 = find(isfinite(D2) & D2 > 0)
In this case, 8 isn't reachable from 1.
Alternately you could ask for the connected components of G or G2 and return all nodes that are in the component containing 1.
C = conncomp(G2);
find(C == C(1)) % This will include 1
0 commentaires
Voir également
Catégories
En savoir plus sur Graph and Network Algorithms dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!