def make_implicit_graphs(preprocessed_data_folder, simple_undirected_implicit_graph_folder):
####################################################################################################################
# Read graphs.
####################################################################################################################
# Read follow graph.
source_path = preprocessed_data_folder + "/" + "followedby" + ".tsv"
follow_graph = read_adjacency_matrix(source_path, "\t", "matlab")
follow_graph = follow_graph.transpose()
# Read mention graph.
source_path = preprocessed_data_folder + "/" + "mentionedby" + ".tsv"
mention_graph = read_adjacency_matrix(source_path, "\t", "matlab")
mention_graph = mention_graph.transpose()
# Read retweet graph.
source_path = preprocessed_data_folder + "/" + "retweetedby" + ".tsv"
retweet_graph = read_adjacency_matrix(source_path, "\t", "matlab")
retweet_graph = retweet_graph.transpose()
####################################################################################################################
# Simple undirected implicit graphs.
####################################################################################################################
target_path = simple_undirected_implicit_graph_folder + "/" + "follow_graph" + ".tsv"
simple_undirected_follow_graph = (follow_graph + follow_graph.transpose())/2
scipy_sparse_to_csv(target_path, simple_undirected_follow_graph, separator="\t", directed=False, numbering="matlab")
target_path = simple_undirected_implicit_graph_folder + "/" + "mention_graph" + ".tsv"
simple_undirected_mention_graph = (mention_graph + mention_graph.transpose())/2
scipy_sparse_to_csv(target_path, simple_undirected_mention_graph, separator="\t", directed=False, numbering="matlab")
target_path = simple_undirected_implicit_graph_folder + "/" + "retweet_graph" + ".tsv"
simple_undirected_retweet_graph = (retweet_graph + retweet_graph.transpose())/2
scipy_sparse_to_csv(target_path, simple_undirected_retweet_graph, separator="\t", directed=False, numbering="matlab")
gc.collect()
####################################################################################################################
# Multiview graphs.
####################################################################################################################
target_path = simple_undirected_implicit_graph_folder + "/" + "fol_men_graph" + ".tsv"
simple_undirected_fol_men_graph = (follow_graph + follow_graph.transpose() +
mention_graph + mention_graph.transpose())/4
scipy_sparse_to_csv(target_path, simple_undirected_fol_men_graph, separator="\t", directed=False, numbering="matlab")
target_path = simple_undirected_implicit_graph_folder + "/" + "men_ret_graph" + ".tsv"
simple_undirected_men_ret_graph = (mention_graph + mention_graph.transpose() +
retweet_graph + retweet_graph.transpose())/4
scipy_sparse_to_csv(target_path, simple_undirected_men_ret_graph, separator="\t", directed=False, numbering="matlab")
target_path = simple_undirected_implicit_graph_folder + "/" + "fol_ret_graph" + ".tsv"
simple_undirected_fol_ret_graph = (follow_graph + follow_graph.transpose() +
retweet_graph + retweet_graph.transpose())/4
scipy_sparse_to_csv(target_path, simple_undirected_fol_ret_graph, separator="\t", directed=False, numbering="matlab")
target_path = simple_undirected_implicit_graph_folder + "/" + "fol_men_ret_graph" + ".tsv"
simple_undirected_fol_men_ret_graph = (follow_graph + follow_graph.transpose() +
mention_graph + mention_graph.transpose() +
retweet_graph + retweet_graph.transpose())/6
scipy_sparse_to_csv(target_path, simple_undirected_fol_men_ret_graph, separator="\t", directed=False, numbering="matlab")
def read_insight_data(dataset_folder):
adjacency_matrix = insight_read_data.read_adjacency_matrix(file_path=dataset_folder + "/men_ret_graph.tsv",
separator="\t")
node_label_matrix,\
labelled_node_indices,\
number_of_categories = insight_read_data.read_node_label_matrix(file_path=dataset_folder + "/user_label_matrix.tsv",
separator="\t")
return adjacency_matrix,\
node_label_matrix,\
labelled_node_indices,\
number_of_categories
def read_insight_data(dataset_folder):
adjacency_matrix = insight_read_data.read_adjacency_matrix(
file_path=dataset_folder + "/men_ret_graph.tsv", separator="\t")
node_label_matrix,\
labelled_node_indices,\
number_of_categories = insight_read_data.read_node_label_matrix(file_path=dataset_folder + "/user_label_matrix.tsv",
separator="\t")
return adjacency_matrix,\
node_label_matrix,\
labelled_node_indices,\
number_of_categories
