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Contains a collection of general network analysis tools I have been using during my D.Phil. For more advanced operations, see the comDetNMF, BOMP and GMMevents

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README
README
 
 
adjacency_partition.m
adjacency_partition.m
 
 
analyse_scripts.m
analyse_scripts.m
 
 
assortativity.m
assortativity.m
 
 
average_degree.m
average_degree.m
 
 
average_group_density.m
average_group_density.m
 
 
broad_search.m
broad_search.m
 
 
broad_traversal.m
broad_traversal.m
 
 
build_LFR_parameter_file.m
build_LFR_parameter_file.m
 
 
build_distributed_adjacency_matrix.m
build_distributed_adjacency_matrix.m
 
 
build_network_manually.m
build_network_manually.m
 
 
commdetU.m
commdetU.m
 
 
compress_adjacency_matrix.m
compress_adjacency_matrix.m
 
 
convert_soft_membership_matrix_to_groups.m
convert_soft_membership_matrix_to_groups.m
 
 
decompress_adjacency_matrix.m
decompress_adjacency_matrix.m
 
 
deep_search.m
deep_search.m
 
 
degree.m
degree.m
 
 
donetti_munoz.m
donetti_munoz.m
 
 
edge_popularity_given_startnode.m
edge_popularity_given_startnode.m
 
 
export_Pajek.m
export_Pajek.m
 
 
export_matrix_to_LaTeX.m
export_matrix_to_LaTeX.m
 
 
extract_graph_data.m
extract_graph_data.m
 
 
extremal_optimization.m
extremal_optimization.m
 
 
find_group_membership.m
find_group_membership.m
 
 
find_shortest_path.m
find_shortest_path.m
 
 
geodesic_distances.m
geodesic_distances.m
 
 
get_ER_graph_NM.m
get_ER_graph_NM.m
 
 
get_ER_graph_Np.m
get_ER_graph_Np.m
 
 
get_LFR_random_graph.m
get_LFR_random_graph.m
 
 
get_adjacency_matrix_from_simple_GML.m
get_adjacency_matrix_from_simple_GML.m
 
 
get_assortativity_given_x.m
get_assortativity_given_x.m
 
 
get_average_weight.m
get_average_weight.m
 
 
get_clustering_coefficient.m
get_clustering_coefficient.m
 
 
get_degree_distribution.m
get_degree_distribution.m
 
 
get_edge_betweeness.m
get_edge_betweeness.m
 
 
get_greedy_allocation_matrix.m
get_greedy_allocation_matrix.m
 
 
get_group_similarity.m
get_group_similarity.m
 
 
get_individual_membership.m
get_individual_membership.m
 
 
get_individual_modularity.m
get_individual_modularity.m
 
 
get_laplacian.m
get_laplacian.m
 
 
get_modularity.m
get_modularity.m
 
 
get_modularity_matrix.m
get_modularity_matrix.m
 
 
get_network_cartography.m
get_network_cartography.m
 
 
get_network_square_error_distance.m
get_network_square_error_distance.m
 
 
get_newman_girvan_random_graph.m
get_newman_girvan_random_graph.m
 
 
get_newman_girvan_random_graph_expected_modularity.m
get_newman_girvan_random_graph_expected_modularity.m
 
 
get_pairwise_distances_matrix.m
get_pairwise_distances_matrix.m
 
 
get_partition_similarity_NMI.m
get_partition_similarity_NMI.m
 
 
get_strength.m
get_strength.m
 
 
get_strength_distribution.m
get_strength_distribution.m
 
 
get_weight_betweeness_coefficient.m
get_weight_betweeness_coefficient.m
 
 
get_weighted_modularity.m
get_weighted_modularity.m
 
 
get_weighted_node_distances_matrix.m
get_weighted_node_distances_matrix.m
 
 
hierachical_clustering.m
hierachical_clustering.m
 
 
is_connected.m
is_connected.m
 
 
is_partition_complete.m
is_partition_complete.m
 
 
is_symmetric.m
is_symmetric.m
 
 
k_shell_decomposition.m
k_shell_decomposition.m
 
 
knn.m
knn.m
 
 
knn_correlation.m
knn_correlation.m
 
 
knn_k.m
knn_k.m
 
 
kshell_decomposition.m
kshell_decomposition.m
 
 
newman_girvan.m
newman_girvan.m
 
 
newman_girvan_split.m
newman_girvan_split.m
 
 
newman_givan_test.m
newman_givan_test.m
 
 
node_similarity.m
node_similarity.m
 
 
number_of_components_network.m
number_of_components_network.m
 
 
partition_sensitivity.m
partition_sensitivity.m
 
 
partitioning_error.m
partitioning_error.m
 
 
popular_paths.m
popular_paths.m
 
 
run_ER_tests.m
run_ER_tests.m
 
 
run_newman_entropy_analysis.m
run_newman_entropy_analysis.m
 
 
run_newman_sensitivity_analysis.m
run_newman_sensitivity_analysis.m
 
 
sample_random_graph.m
sample_random_graph.m
 
 
sample_weight_matrix.m
sample_weight_matrix.m
 
 
spectral_partitioning.m
spectral_partitioning.m
 
 
standardise.m
standardise.m
 
 
vertex_clustering.m
vertex_clustering.m
 
 
weighted_SP_tree.m
weighted_SP_tree.m
 
 
weighted_shortest_paths.m
weighted_shortest_paths.m
 
 
zachary.m
zachary.m
 
 

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Contains a collection of general network analysis tools I have been using during my D.Phil.

About

Contains a collection of general network analysis tools I have been using during my D.Phil. For more advanced operations, see the comDetNMF, BOMP and GMMevents

Resources

Readme
Activity

Stars

0 stars

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1 watching

Forks

2 forks
Report repository

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