X-Git-Url: https://git.njae.me.uk/?a=blobdiff_plain;f=lib%2Fgraph.njae%2Fgraph.rb;h=011dd8625720dd601cd4868257ae7224273fb133;hb=32518a2c5089dbd3b9f74aad780ded127e3040ea;hp=b1de59b324be4297ceed4ef6c1a8dd2fdfe890df;hpb=353a5d54ad4014af126c76617d9b02029a3ee98c;p=graph.njae.git diff --git a/lib/graph.njae/graph.rb b/lib/graph.njae/graph.rb index b1de59b..011dd86 100644 --- a/lib/graph.njae/graph.rb +++ b/lib/graph.njae/graph.rb @@ -24,18 +24,77 @@ module GraphNjae self end + # Connects two vertices, creating and storing a new edge + # Also adds the vertices, unless they're already in the graph + def connect(vertex1, vertex2) + self.vertices << vertex1 unless self.vertices.include? vertex1 + self.vertices << vertex2 unless self.vertices.include? vertex2 + edge = Edge.new + self.edges << edge + edge << vertex1 << vertex2 + end + # Form a product graph of this graph and the other. - # Return the new graph. + # Return the product graph. def product(other) product_graph = Graph.new self.vertices.each do |v1| other.vertices.each do |v2| - product_vertex = Vertex.new - product_vertex.left_node = v1 - product_vertex.right_node = v2 - product_graph << product_vertex + product_graph << Vertex.new({:g1_vertex => v1, :g2_vertex => v2}) + end + end + self.edges.each do |e1| + e1_vertices = e1.vertices + other.edges.each do |e2| + e2_vertices = e2.vertices + source = product_graph.vertices.find {|v| v.g1_vertex == e1_vertices[0] and v.g2_vertex == e2_vertices[0]} + destination = product_graph.vertices.find {|v| v.g1_vertex == e1_vertices[1] and v.g2_vertex == e2_vertices[1]} + product_graph.connect source, destination + source = product_graph.vertices.find {|v| v.g1_vertex == e1_vertices[0] and v.g2_vertex == e2_vertices[1]} + destination = product_graph.vertices.find {|v| v.g1_vertex == e1_vertices[1] and v.g2_vertex == e2_vertices[0]} + product_graph.connect source, destination + end + end + product_graph + end + + + def initial_similarity + self.vertices.each do |v| + if block_given? + v.initial_similarity = yield v + else + v.initial_similarity = 1.0 + end + v.similarity = v.initial_similarity + end + end + + # Performs similarity flooding on a graph + # Assumes that the initial similarity has already been calculated + def similarity_flood(opts = {}) + max_iterations = opts[:iterations] || 100 + max_residual = opts[:max_residual] || 0.001 + iteration = 1 + residual = max_residual + 1 + while residual > max_residual and iteration <= max_iterations + self.vertices.each do |v| + v.last_similarity = v.similarity + end + self.vertices.each do |v| + n = v.neighbours.length + v.neighbours.each do |neighbour| + neighbour.similarity += v.last_similarity / n + end + end + max_similarity = vertices.max {|v, w| v.similarity <=> w.similarity}.similarity + self.vertices.each do |v| + v.similarity = v.similarity / max_similarity end + residual = Math.sqrt(self.vertices.reduce(0) {|a, v| a += (v.similarity - v.last_similarity) ** 2}) + iteration += 1 end + end end # class