/**
* Constructs the shortest path array for the given graph.
*
* @param g input graph
* @param <V> a V object.
* @param <E> a E object.
*/
public FloydWarshall(Graph<V, E> g) {
int sz = g.vertexSet().size();
d = new double[sz][sz];
indices = new HashMap<V, Integer>();
// Initialise distance to infinity, or the neighbours weight, or 0 if
// same
for (V v1 : g.vertexSet()) {
for (V v2 : g.vertexSet()) {
if (v1 == v2) {
d[index(v1)][index(v2)] = 0;
} else {
E e = g.getEdge(v1, v2);
if (e == null) {
d[index(v1)][index(v2)] = Double.POSITIVE_INFINITY;
} else {
d[index(v1)][index(v2)] = g.getEdgeWeight(e);
}
}
}
}
// now iterate k times
for (int k = 0; k < sz; k++) {
for (V v1 : g.vertexSet()) {
for (V v2 : g.vertexSet()) {
d[index(v1)][index(v2)] =
Math.min(d[index(v1)][index(v2)], d[index(v1)][k] + d[k][index(v2)]);
if (Double.POSITIVE_INFINITY != d[index(v1)][index(v2)])
diameter = Math.max(diameter, d[index(v1)][index(v2)]);
}
}
}
}
/**
* @param graph the graph to be ordered
* @param orderByDegree should the vertices be ordered by their degree. This speeds up the VF2
* algorithm.
* @param cacheEdges if true, the class creates a adjacency matrix and two arrays for incoming and
* outgoing edges for fast access.
*/
public GraphOrdering(Graph<V, E> graph, boolean orderByDegree, boolean cacheEdges) {
this.graph = graph;
this.cacheEdges = cacheEdges;
List<V> vertexSet = new ArrayList<>(graph.vertexSet());
if (orderByDegree) {
java.util.Collections.sort(vertexSet, new GeneralVertexDegreeComparator<>(graph));
}
vertexCount = vertexSet.size();
mapVertexToOrder = new HashMap<>();
mapOrderToVertex = new ArrayList<>(vertexCount);
if (cacheEdges) {
outgoingEdges = new int[vertexCount][];
incomingEdges = new int[vertexCount][];
adjMatrix = new Boolean[vertexCount][vertexCount];
}
Integer i = 0;
for (V vertex : vertexSet) {
mapVertexToOrder.put(vertex, i++);
mapOrderToVertex.add(vertex);
}
}
/**
* Returns a List with unique elements,
*
* @param v1 vertex from g1
* @return
*/
public List<V> getPrioritySubset(V v1) {
// The resulting list
List<V> result = new ArrayList<V>();
// list of already mapped vertices that neighbour v1
List<V> v1Others = new ArrayList<V>();
V v1other;
V v2other;
for (E e1 : g1.edgesOf(v1)) {
v1other = Graphs.getOppositeVertex(g1, e1, v1);
if (mappedVerticesFromG1.contains(v1other)) {
v1Others.add(v1other);
}
}
for (V v2 : g2.vertexSet()) {
// if v2's label is the same of v1's label and v2 has not been mapped yet
if (v1.getLabel().equals(v2.getLabel()) && !mappedVerticesFromG2.contains(v2)) {
// test if there is an edge to a vertex which has already been mapped
for (E e2 : g2.edgesOf(v2)) {
v2other = Graphs.getOppositeVertex(g2, e2, v2);
// if the vertex v2other has already been mapped
if (mappedVerticesFromG2.contains(v2other)) {
// labels are not checked, this is done at a later stage anyway and doing it twice is
// not needed and takes too much time
result.add(v2);
break;
}
}
}
}
return result;
}
/**
* Creates a new iterator for the specified graph. Iteration will start at the specified start
* vertex. If the specified start vertex is <code>
* null</code>, Iteration will start at an arbitrary graph vertex.
*
* @param g the graph to be iterated.
* @param startVertex the vertex iteration to be started.
* @throws IllegalArgumentException if <code>g==null</code> or does not contain <code>startVertex
* </code>
*/
public CrossComponentIterator(Graph<V, E> g, V startVertex) {
super();
if (g == null) {
throw new IllegalArgumentException("graph must not be null");
}
graph = g;
specifics = createGraphSpecifics(g);
vertexIterator = g.vertexSet().iterator();
setCrossComponentTraversal(startVertex == null);
reusableEdgeEvent = new FlyweightEdgeEvent<V, E>(this, null);
reusableVertexEvent = new FlyweightVertexEvent<V>(this, null);
if (startVertex == null) {
// pick a start vertex if graph not empty
if (vertexIterator.hasNext()) {
this.startVertex = vertexIterator.next();
} else {
this.startVertex = null;
}
} else if (g.containsVertex(startVertex)) {
this.startVertex = startVertex;
} else {
throw new IllegalArgumentException("graph must contain the start vertex");
}
}
@Override
public TraversalGraph<V, E> reconstructTraversalGraph() {
if (currentStartNode == null) {
throw new IllegalStateException(
"You must call #calculate before " + "reconstructing the traversal graph.");
}
TraversalGraph<V, E> traversalGraph =
new TraversalGraph<V, E>(graph.getEdgeFactory(), currentStartNode);
for (V v : graph.vertexSet()) {
Set<E> predEdges = (Set<E>) v.getPredecessorEdges();
for (E e : predEdges) {
V source = graph.getEdgeSource(e);
V target = graph.getEdgeTarget(e);
traversalGraph.addVertex(source);
traversalGraph.addVertex(target);
if (v.equals(source)) {
traversalGraph.addEdge(target, source).setBaseGraphEdge(e);
} else if (v.equals(target)) {
traversalGraph.addEdge(source, target).setBaseGraphEdge(e);
} else {
throw new IllegalStateException(
"A vertex has a predecessor " + "edge not ending on itself.");
}
}
}
return traversalGraph;
}
@Override
public BufferedImage getView() {
if (img == null) {
return img;
}
Graphics2D gpcs = (Graphics2D) img.getGraphics();
gpcs.scale(
windowSize.getWidth() / canvasSize.getWidth(),
windowSize.getHeight() / canvasSize.getHeight());
gpcs.setColor(Color.WHITE);
gpcs.fillRect(0, 0, (int) canvasSize.getWidth(), (int) canvasSize.getHeight());
for (Edge e : graph.edgeSet()) {
if (e.isEnabled()) {
gpcs.setColor(e.getStrokeColor());
gpcs.draw(e);
}
}
for (Vertex v : graph.vertexSet()) {
if (v.isEnabled()) {
gpcs.setColor(v.getStrokeColor());
gpcs.draw(v);
gpcs.setColor(v.getFillColor());
gpcs.fill(v);
}
}
return img;
}
/**
* Constructs a new JGraph model adapter for the specified JGraphT graph.
*
* @param jGraphTGraph the JGraphT graph for which JGraph model adapter to be created. <code>null
* </code> is NOT permitted.
* @param defaultVertexAttributes a default map of JGraph attributes to format vertices. <code>
* null</code> is NOT permitted.
* @param defaultEdgeAttributes a default map of JGraph attributes to format edges. <code>null
* </code> is NOT permitted.
* @param cellFactory a {@link CellFactory} to be used to create the JGraph cells. <code>null
* </code> is NOT permitted.
* @throws IllegalArgumentException
*/
public JGraphModelAdapter(
Graph<V, E> jGraphTGraph,
AttributeMap defaultVertexAttributes,
AttributeMap defaultEdgeAttributes,
CellFactory<V, E> cellFactory) {
super();
if ((jGraphTGraph == null)
|| (defaultVertexAttributes == null)
|| (defaultEdgeAttributes == null)
|| (cellFactory == null)) {
throw new IllegalArgumentException("null is NOT permitted");
}
jtGraph = new ShieldedGraph(jGraphTGraph);
setDefaultVertexAttributes(defaultVertexAttributes);
setDefaultEdgeAttributes(defaultEdgeAttributes);
this.cellFactory = cellFactory;
if (jGraphTGraph instanceof ListenableGraph<?, ?>) {
ListenableGraph<V, E> g = (ListenableGraph<V, E>) jGraphTGraph;
g.addGraphListener(new JGraphTListener());
}
for (Iterator<V> i = jGraphTGraph.vertexSet().iterator(); i.hasNext(); ) {
handleJGraphTAddedVertex(i.next());
}
for (Iterator<E> i = jGraphTGraph.edgeSet().iterator(); i.hasNext(); ) {
handleJGraphTAddedEdge(i.next());
}
this.addGraphModelListener(new JGraphListener());
}
/** {@inheritDoc} */
public void generateGraph(
Graph<V, E> target, VertexFactory<V> vertexFactory, Map<String, V> resultMap) {
if (size < 1) {
return;
}
// Add all the vertices to the set
for (int i = 0; i < size; i++) {
V newVertex = vertexFactory.createVertex();
target.addVertex(newVertex);
}
/*
* We want two iterators over the vertex set, one fast and one slow.
* The slow one will move through the set once. For each vertex,
* the fast iterator moves through the set, adding an edge to all
* vertices we haven't connected to yet.
*
* If we have an undirected graph, the second addEdge call will return
* nothing; it will not add a second edge.
*/
Iterator<V> slowI = target.vertexSet().iterator();
Iterator<V> fastI;
while (slowI.hasNext()) { // While there are more vertices in the set
V latestVertex = slowI.next();
fastI = target.vertexSet().iterator();
// Jump to the first vertex *past* latestVertex
while (fastI.next() != latestVertex) {;
}
// And, add edges to all remaining vertices
V temp;
while (fastI.hasNext()) {
temp = fastI.next();
target.addEdge(latestVertex, temp);
target.addEdge(temp, latestVertex);
}
}
}
@Override
public void setGraph(Graph<? extends Vertex, ? extends Edge> g) {
this.graph = g;
Rectangle r = new Rectangle();
for (Vertex v : g.vertexSet()) {
r = r.union(v.getBounds());
}
canvasSize =
new Dimension((int) Math.ceil(r.getWidth()) + 20, (int) Math.ceil(r.getHeight()) + 20);
}
/**
* Creates a new labels graph according to the regular graph. After its creation they will no
* longer be linked, thus changes to one will not affect the other.
*
* @param regularGraph
*/
public GraphOrdering(Graph<V, E> regularGraph) {
this(regularGraph, regularGraph.vertexSet(), regularGraph.edgeSet());
}
/**
* Return the number of vertices.
*
* @return the number of vertices.
*/
public int getVertexCount() {
int value = 0;
if (graph != null) value = graph.vertexSet().size();
return value;
}
/**
* Create OSM graph for routing
*
* @return
*/
public void createGraph() {
logger.debug("Creating Graph...");
graph = new DirectedWeightedMultigraph<>(OsmEdge.class);
rgDelegator = new RoutingGraphDelegator(graph);
rgDelegator.setRouteType(this.routeType);
// iterate all ways and segments for all nodes:
for (Way way : data.getWays()) {
// skip way if not suitable for routing.
if (way == null || way.isDeleted() || !this.isvalidWay(way) || way.getNodes().size() < 1)
continue;
// INIT
Node from = null;
Node to = null;
List<Node> nodes = way.getNodes();
int nodes_count = nodes.size();
/*
* Assume node is A B C D E. The procedure should be
*
* case 1 - bidirectional ways:
* 1) Add vertex A B C D E
* 2) Link A<->B, B<->C, C<->D, D<->E as Edges
*
* case 2 - oneway reverse:
* 1) Add vertex A B C D E
* 2) Link B->A,C->B,D->C,E->D as Edges. result: A<-B<-C<-D<-E
*
* case 3 - oneway normal:
* 1) Add vertex A B C D E
* 2) Link A->B, B->C, C->D, D->E as Edges. result: A->B->C->D->E
*
*
*/
String oneway_val = way.get("oneway"); /* get (oneway=?) tag for this way. */
String junction_val = way.get("junction"); /* get (junction=?) tag for this way. */
from = nodes.get(0); /* 1st node A */
graph.addVertex(from); /* add vertex A */
for (int i = 1; i < nodes_count; i++) {
/* loop from B until E */
to = nodes.get(i); /* 2nd node B */
if (to != null && !to.isDeleted()) {
graph.addVertex(to); /* add vertex B */
// this is where we link the vertices
if (!routingProfile.isOnewayUsed()) {
// "Ignore oneways" is selected
addEdgeBidirectional(way, from, to);
} else if (oneway_val == null && junction_val == "roundabout") {
// Case (roundabout): oneway=implicit yes
addEdgeNormalOneway(way, from, to);
} else if (oneway_val == null
|| oneway_val == "false"
|| oneway_val == "no"
|| oneway_val == "0") {
// Case (bi-way): oneway=false OR oneway=unset OR oneway=0 OR oneway=no
addEdgeBidirectional(way, from, to);
} else if (oneway_val == "-1") {
// Case (oneway reverse): oneway=-1
addEdgeReverseOneway(way, from, to);
} else if (oneway_val == "1" || oneway_val == "yes" || oneway_val == "true") {
// Case (oneway normal): oneway=yes OR 1 OR true
addEdgeNormalOneway(way, from, to);
}
from = to; /* we did A<->B, next loop we will do B<->C, so from=B,to=C for next loop. */
}
} // end of looping thru nodes
} // end of looping thru ways
logger.debug("End Create Graph");
logger.debug("Vertex: " + graph.vertexSet().size());
logger.debug("Edges: " + graph.edgeSet().size());
}
public int getNumberOfNodes() {
return myGraph.vertexSet().size();
}
public List<Node> getAllNodes() {
return new ArrayList<>(myGraph.vertexSet());
}
public FloydWarshallShortestPaths(Graph<V, E> graph) {
this.graph = graph;
this.vertices = new ArrayList<V>(graph.vertexSet());
}
/**
* Creates an object to calculate shortest paths between the start vertex and others vertices
* using the Bellman-Ford algorithm.
*
* @param graph
* @param startVertex
*/
public BellmanFordShortestPath(Graph<V, E> graph, V startVertex) {
this(graph, startVertex, graph.vertexSet().size() - 1);
}
public static void main(String[] args) throws IOException {
System.out.println("Enter parameters: N p_w p_r steps:");
try {
BufferedReader reader = new BufferedReader(new InputStreamReader(System.in));
String paras[] = reader.readLine().split(" ");
N = Integer.parseInt(paras[0]);
p_w = Float.parseFloat(paras[1]);
p_r = Float.parseFloat(paras[2]);
steps = Integer.parseInt(paras[3]);
} catch (IOException e) {
System.out.println("Error reading from user");
}
long start = System.currentTimeMillis();
int simulations = 1;
for (int t = 1; t <= simulations; t++) {
// Initialization, generate an empty network of N nodes
EIM dynamic = new EIM();
G = new SimpleWeightedGraph<Integer, DefaultWeightedEdge>(DefaultWeightedEdge.class);
for (int i = 0; i < N; i++) G.addVertex(i);
String para = "EIM_" + Integer.toString(t);
String folder = "files/" + "Networks" + "/";
File f = new File(folder);
if (f.exists() == false) {
f.mkdirs();
}
// distribution of social space
socialposition = dynamic.uniform(N);
for (int s = 0; s < steps; s++) {
int v = random.nextInt(N);
// LA process - weighted random walk + link with social distance
dynamic.localattach(v);
// GA process
// no edges, create one random link
if (G.edgesOf(v).size() == 0) {
dynamic.globalattach(v);
} else {
float prob = random.nextFloat();
if (prob < p_r) dynamic.globalattach(v);
}
// ND process
int d = random.nextInt(N);
if (G.edgesOf(d).size() > 0) {
float prob = random.nextFloat();
if (prob < p_d) {
Set<DefaultWeightedEdge> edges = new HashSet(G.edgesOf(d));
G.removeAllEdges(edges);
}
}
if (s % 100000 == 0) {
System.out.print("Steps:" + Integer.toString(s) + " ");
System.out.print("Edges:");
System.out.print(G.edgeSet().size() + " ");
System.out.println(
"Avg_degree: "
+ Float.toString((float) G.edgeSet().size() * 2 / G.vertexSet().size()));
}
}
// delete isolate nodes
ArrayList<Integer> nodelist = new ArrayList<Integer>();
for (int node : G.vertexSet()) nodelist.add(node);
for (int node : nodelist) {
if (G.degreeOf(node) == 0) G.removeVertex(node);
}
System.out.print("Nodes:");
System.out.println(G.vertexSet().size());
System.out.print("Edges:");
System.out.println(G.edgeSet().size());
// get largest connected component
Statistics stat = new Statistics();
Graph G_LCC = stat.largestConnectedComponent(G);
ExportGraph export = new ExportGraph();
export.exportWPairs((SimpleWeightedGraph<Integer, DefaultWeightedEdge>) G_LCC, para, folder);
System.out.print("Nodes in LCC:");
System.out.println(G_LCC.vertexSet().size());
System.out.print("Edges in LCC:");
System.out.println(G_LCC.edgeSet().size());
System.out.println("Avg_degree: " + Double.toString(stat.avg_degree(G_LCC)));
System.out.println("Avg_clustering: " + Double.toString(stat.avg_clustering(G_LCC)));
System.out.println(
"Degree assortativity: " + Double.toString(stat.assortativityCoefficient(G_LCC)));
}
long elapsedTimeMillis = System.currentTimeMillis() - start;
float elapsedTimeHour = elapsedTimeMillis / (60 * 60 * 1000F);
System.out.print("Elapsed time: ");
System.out.print(elapsedTimeHour);
System.out.println(" hours.");
}
/**
* @param connectedOnly if true, the result will be a connected graph
* @return
*/
public Graph<V, E> toGraph() {
if (subgraph != null) return subgraph;
if (directed) {
subgraph = new DirectedMultigraph<V, E>(g2.getEdgeFactory());
} else {
subgraph = new Multigraph<V, E>(g2.getEdgeFactory());
}
E edge;
V source;
V target;
for (int x = 0; x < dimx; x++) {
for (int y = 0; y < dimy; y++) {
if (matrix[x][y]) {
edge = edgeList2.get(y);
source = g2.getEdgeSource(edge);
target = g2.getEdgeTarget(edge);
if (mappedVerticesFromG2.contains(source) && mappedVerticesFromG2.contains(target)) {
// make sure the source and target vertices have been added, then add the edge
subgraph.addVertex(source);
subgraph.addVertex(target);
subgraph.addEdge(source, target, edge);
}
}
}
}
if (connectedOnly) {
// make sure this subgraph is connected, if it is not return the largest connected part
List<Set<V>> connectedVertices = new ArrayList<Set<V>>();
for (V v : subgraph.vertexSet()) {
if (!SharedStaticMethods.containsV(connectedVertices, v)) {
connectedVertices.add(SharedStaticMethods.getConnectedVertices(subgraph, v));
}
}
// ConnectedVertices now contains Sets of connected vertices every vertex of the subgraph is
// contained exactly once in the list
// if there is more then 1 set, then this method should return the largest connected part of
// the graph
if (connectedVertices.size() > 1) {
Graph<V, E> largestResult = null;
Graph<V, E> currentGraph;
int largestSize = -1;
Set<V> currentSet;
for (int i = 0; i < connectedVertices.size(); i++) {
currentSet = connectedVertices.get(i);
/*note that 'subgraph' is the result from the Mcgregor algorithm, 'currentGraph' is an
* induced subgraph of 'subgraph'. 'currentGraph' is connected, because the vertices in
* 'currentSet' are connected with edges in 'subgraph'
*/
currentGraph = new Subgraph<V, E, Graph<V, E>>(subgraph, currentSet);
if (currentGraph.edgeSet().size() > largestSize) {
largestResult = currentGraph;
}
}
return largestResult;
}
}
return subgraph;
}
