Description Usage Arguments Value Examples

Function identifies the common subgraphs of two networks and returns the networks statistics using network_stats.

1 2 | ```
common_subgraph_stats(adj_1, adj_2, giant = FALSE, weights_1 = NULL,
weights_2 = NULL, mode_1 = "undirected", mode_2 = "undirected")
``` |

`adj_1` |
numeric matrix representing the adjacency matrix of graph 1. |

`adj_2` |
numeric matrix representing the adjacency matrix of graph 2. |

`giant` |
logical specifying whether the should be computed for the largest component. |

`weights_1` |
numeric vector of edge weights for network 1 and 2, respectively. Optional. |

`weights_2` |
numeric vector of edge weights for network 1 and 2, respectively. Optional. |

`mode_1` |
character, either |

`mode_2` |
character, either |

List containing the two subgraphs.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# get fluency data
data(animal_fluency)
# edge lists of fluency graphs
edge_list_1 = threshold_graph(animal_fluency[1:100])
edge_list_2 = threshold_graph(animal_fluency[101:200])
# get adjacency matrices
adj_1 = edg_to_adj(edge_list_1)
adj_2 = edg_to_adj(edge_list_2)
# get structural overview of both networks
common_subgraph_stats(adj_1, adj_2)
``` |

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