CTD (version 1.3)

graph.netWalkSnapShot: Capture the current location of a network walker

Description

A network walker steps towards the node that inherited the highest probability from the last node that it stepped into.

Usage

graph.netWalkSnapShot(adj_mat,G,output_dir,p1,visitedNodes,S,
                                coords,imgNum=1,useLabels=TRUE)

Value

0

Arguments

adj_mat

- The adjacency matrix that encodes the edge weights for the network, G.

G

- A list of probabilities, with names of the list being the node names in the network.

output_dir

- The local directory at which you want still PNG images to be saved.

p1

- The probability being dispersed from the starting node, startNode, which is preferentially distributed between network nodes by the probability diffusion algorithm based solely on network connectivity.

visitedNodes

- A character vector of node names, storing the history of previous draws in the node ranking.

S

- A character vector of node names in the subset you want the network walker to find.

coords

- The x and y coordinates for each node in the network, to remain static between images.

imgNum

- The image number for this snapshot. If images are being generated in a sequence, this serves as an iterator for file naming.

useLabels

- If TRUE, node names will display next to their respective nodes in the network. If FALSE, node names will not display.

Examples

# 7 node example graph illustrating diffusion of probability based on network
# connectivity
adj_mat = rbind(c(0,2,1,0,0,0,0), # A
                c(2,0,1,0,0,0,0), # B
                c(1,0,0,1,0,0,0), # C
                c(0,0,1,0,2,0,0), # D
                c(0,0,0,2,0,2,1), # E
                c(0,0,0,1,2,0,1), # F
                c(0,0,0,0,1,1,0)  # G
                )
rownames(adj_mat) = c("A", "B", "C", "D", "E", "F", "G")
colnames(adj_mat) = c("A", "B", "C", "D", "E", "F", "G")
ig = graph.adjacency(as.matrix(adj_mat), mode="undirected", weighted=TRUE)
G=vector(mode="list", length=7)
G[seq_len(length(G))] = 0
names(G) = c("A", "B", "C", "D", "E", "F", "G")
S = c("A", "C")
coords = layout.fruchterman.reingold(ig)
# Uncomment to run
#graph.netWalkSnapShot(adj_mat,G,output_dir=getwd(),p1=1.0,
#                        "A",S,coords,1,TRUE)