def main():
# Load graph
twitter_graph = nx.read_edgelist(
"twitter_congress_graph.edgelist", delimiter="\t", nodetype=str, create_using=nx.DiGraph()
)
twitter_graph.remove_edges_from(twitter_graph.selfloop_edges())
# Find largest connected component
twitter_mc = nx.weakly_connected_component_subgraphs(twitter_graph)[0]
# Take 2-core of main component
mc_core = core.k_core(twitter_mc, 2)
# Output results
nx.write_edgelist(twitter_graph, "twitter_congress_clean", delimiter="\t")
nx.write_edgelist(twitter_mc, "twitter_congress_mc.edgelist", delimiter="\t")
nx.write_edgelist(mc_core, "twitter_congress_mc_2core.edgelist", delimiter="\t")
def main():
# Load graph
twitter_graph = nx.read_edgelist('twitter_congress_graph.edgelist', delimiter="\t", nodetype=str, create_using=nx.DiGraph())
twitter_graph.remove_edges_from(twitter_graph.selfloop_edges())
# Find largest connected component
twitter_mc = nx.weakly_connected_component_subgraphs(twitter_graph)[0]
# Extract chamber-specific networks
rep_network = congressSubgraph(twitter_graph, title='Rep')
sen_network = congressSubgraph(twitter_graph, title='Sen')
# Take 2-core of main component
mc_core = core.k_core(twitter_mc, 2)
# Output results
nx.write_edgelist(twitter_graph, 'twitter_congress_clean.edgelist', delimiter='\t', data=False)
nx.write_edgelist(twitter_mc, 'twitter_congress_mc.edgelist', delimiter='\t', data=False)
nx.write_edgelist(mc_core, 'twitter_congress_mc_2core.edgelist', delimiter='\t', data=False)
nx.write_edgelist(rep_network, 'twitter_representative_mc.edgelist', delimiter='\t', data=False)
nx.write_edgelist(sen_network, 'twitter_senators_mc.edgelist', delimiter='\t', data=False)
def main():
# Load graph
twitter_graph = nx.read_edgelist('twitter_congress_graph.edgelist',
delimiter="\t",
nodetype=str,
create_using=nx.DiGraph())
twitter_graph.remove_edges_from(twitter_graph.selfloop_edges())
# Find largest connected component
twitter_mc = nx.weakly_connected_component_subgraphs(twitter_graph)[0]
# Extract chamber-specific networks
rep_network = congressSubgraph(twitter_graph, title='Rep')
sen_network = congressSubgraph(twitter_graph, title='Sen')
# Take 2-core of main component
mc_core = core.k_core(twitter_mc, 2)
# Output results
nx.write_edgelist(twitter_graph,
'twitter_congress_clean.edgelist',
delimiter='\t',
data=False)
nx.write_edgelist(twitter_mc,
'twitter_congress_mc.edgelist',
delimiter='\t',
data=False)
nx.write_edgelist(mc_core,
'twitter_congress_mc_2core.edgelist',
delimiter='\t',
data=False)
nx.write_edgelist(rep_network,
'twitter_representative_mc.edgelist',
delimiter='\t',
data=False)
nx.write_edgelist(sen_network,
'twitter_senators_mc.edgelist',
delimiter='\t',
data=False)
