Description Usage Arguments Value Examples
This function allows the user to create random network X and an associated augmented network Y using either the Erdos-Renyi model or the Barabasi-Albert model.
1 | random_network(original_node, additional_node, ngroup, edge_ratio,total_edge, type)
|
original_node |
the number of nodes in the original network X (default=25) |
additional_node |
the number of additional node in network Y (default=5) |
ngroup |
the number of additional taxa groups in network Y (default=1) |
edge_ratio |
the edge to node ratio (default=between 1 and 5) |
total_edge |
the number of edges in the fixed model |
type |
Either 'erdos' for the Erdos-Renyi model, 'barabasi' for the Barabasi-Albert model, 'watts' for the Watts-Strogatz model or 'fixed' fixed model allowing a defined number of edges |
Return a data.frame containing g1, g2, the total_nodes and the total_edges numbers of network Y and the total_original_nodes number of network X.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | ## Create a small random_network
## Not run:
random_network()
## End(Not run)
## Expected result:
#
# $g1
# IGRAPH UNW- 25 23 -- Erdos renyi (gnm) graph
# + attr: name (g/c), type (g/c), loops (g/l), m (g/n), name (v/c), tax
# (v/c), weight (e/n)
#
# $g2
# IGRAPH UNW- 30 30 -- Erdos renyi (gnm) graph
# + attr: name (g/c), type (g/c), loops (g/l), m (g/n), name (v/c), tax
# (v/c), weight (e/n)
#
# $total_nodes
# [1] 30
#
# $total_edges
# [1] 30
#
# $total_original_nodes
# [1] 25
#
## Create two networks using the Erdos-Renyi model with 100 nodes in network X
## and 10 additional nodes in network Y of 3 types.
random_network(100,10,3);
## Create a random networks of 20 +10 additional node using the Barabsi-Albert model
## and compute the corresponding SDDE path types.
## l <- random_network(20,10,ngroup=1,vertex_ratio=1, type='barabasi');
## complete_network(l$g1, l$g2);
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