Find Shortest Path Between People in Social Neighborhood
This example shows how to search a social neighborhood to find the shortest path between people, using the MATLAB® interface to Neo4j®. Assume that you have graph data that is stored on a Neo4j database which represents a social neighborhood. This database has seven nodes and eight relationships. Each node has only one unique property key name
with a value ranging from User1
through User7
. Each relationship has type knows
.
To find the shortest path between User1
and User7
, use the MATLAB interface to Neo4j and the digraph
object. For details about the MATLAB interface to Neo4j, see Graph Database Workflow for Neo4j Database Interfaces.
The local machine hosts the Neo4j database with port number 7474
, user name neo4j
, and password matlab
. For a visual representation of the data in the database, see this figure.
Connect to Neo4j Database
Create a Neo4j connection object neo4jconn
using the URL http://localhost:7474/db/data
, user name neo4j
, and password matlab
.
url = 'http://localhost:7474/db/data'; username = 'neo4j'; password = 'matlab'; neo4jconn = neo4j(url,username,password);
Check the Message
property of the Neo4j connection object neo4jconn
. The blank Message
property indicates a successful connection.
neo4jconn.Message
ans = []
Search Entire Graph
Find all the Person
nodes and all the relationships associated with each Person
node using searchGraph
.
social_graphdata = searchGraph(neo4jconn,{'Person'})
social_graphdata = struct with fields:
Nodes: [7×3 table]
Relations: [8×5 table]
Convert Graph Data to Directed Graph
Using the table social_graphdata.Nodes
, access the name
property for each node that appears in the NodeData
variable of the table.
Assign the table social_graphdata.Nodes
to nodestable
.
nodestable = social_graphdata.Nodes
nodestable=7×3 table
NodeLabels NodeData NodeObject
__________ ____________ ___________________________________
0 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
1 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
2 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
3 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
4 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
5 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
9 'Person' [1×1 struct] [1x1 database.neo4j.http.Neo4jNode]
Assign the row names for each row in the table nodestable
to rownames
.
rownames = nodestable.Properties.RowNames
rownames = 7×1 cell array
{'0'}
{'1'}
{'2'}
{'3'}
{'4'}
{'5'}
{'9'}
Access the NodeData
variable from nodestable
for each row. nodedata
contains an array of structures.
nodedata = [nodestable.NodeData{rownames}]
nodedata = 1×7 struct array with fields:
name
To retrieve the name
field from each structure, index into the array. nodenames
is a cell array of character vectors that contains node names.
nodenames = {nodedata(:).name}
nodenames = 1×7 cell array
{'User1'} {'User3'} {'User2'} {'User4'} {'User5'} {'User6'} {'User7'}
Create the digraph
object social_graph
using the neo4jStruct2Digraph
function with the graph data stored in social_graphdata
and the node names stored in nodenames
.
social_graph = neo4jStruct2Digraph(social_graphdata,'NodeNames',nodenames)
social_graph = digraph with properties: Edges: [8×3 table] Nodes: [7×3 table]
To see a visual representation of the graph, create a figure that displays social_graph
.
plot(social_graph,'EdgeLabel',social_graph.Edges.RelationType)
Find Shortest Path
Find the shortest path between User1
and User7
using shortestpath
.
[user1_to_user7,distance] = shortestpath(social_graph,'User1','User7')
user1_to_user7 = 1×5 cell array
{'User1'} {'User3'} {'User4'} {'User6'} {'User7'}
distance = 4
Close Database Connection
close(neo4jconn)
See Also
neo4j
| searchNode
| searchRelation
| shortestpath