tags |
---|
networks, outils |
NetworkX
R : Statnet, Graph
igraph : développé par des informaticiens et des physiciens. Nombreuses mesures issues de la sociologie et de physique.
statnet : ensemble de package développé par des sociologues. Nombreuses mesures issues de la sociologie et de la physique et modèles statistiques (ERGM Exponentiel Random Graph Model).
bipartite : analyse de réseaux bipartis développé par des écologues
enaR : analyse de réseaux écologiques (procédures MatLab)
tnet : analyse de réseaux valués (simples et bipartis)
egonet : analyse de réseaux personnels
inter graph : transforme les objets network (statnet) en objet i graph et vice et versa.
+ Calcul matriciel
mesures de base :
statnet | igraph | |
---|---|---|
densité | gden | graph.density |
comp. connexes | components | clusters |
degré | degree | degree |
betweenness | betweeness | betweenness |
closeness | closeness | closeness |
PCC* (plus court chemin) | geodist | shortest.paths |
cliques | clique.census | cliques |
k-cores | krores | graph.coreness |
features | Networks | Junet | graphs |
---|---|---|---|
langage | Python | Julia | |
since | 2002 | ||
author | Aric Hagberg | ||
version | 2.4 | alpha | |
date | 2019-10 | ||
Graph types | |||
undirected graph | yes | ||
directed graphs | yes | ||
multigraph | yes | ||
multidigraph | yes |
https://github.com/inguar/Junet.jl
https://github.com/JuliaGraphs
List from NetworkX 2.4
- Connectivity
- K-components
- Clique
- Clustering
- Dominating Set
- Independent Set
- Matching
- Ramsey
- Steiner Tree
- Treewidth
- Vertex Cover
- Basic functions
- Matching
- Matrix
- Projections
- Spectral
- Clustering
- Redundancy
- Centrality
- Generators
- Covering
- networkx.algorithms.bridges.bridges
- networkx.algorithms.bridges.has_bridges
- networkx.algorithms.bridges.local_bridges
- Degree
- Eigenvector
- Closeness
- Current Flow Closeness
- (Shortest Path) Betweenness
- Current Flow Betweenness
- Communicability Betweenness
- Group Centrality
- Load
- Subgraph
- Harmonic Centrality
- Dispersion
- Reaching
- Percolation
- Second Order Centrality
- VoteRank
- networkx.algorithms.chordal.is_chordal
- networkx.algorithms.chordal.chordal_graph_cliques
- networkx.algorithms.chordal.chordal_graph_treewidth
- networkx.algorithms.chordal.find_induced_nodes
- networkx.algorithms.clique.enumerate_all_cliques
- networkx.algorithms.clique.find_cliques
- networkx.algorithms.clique.make_max_clique_graph
- networkx.algorithms.clique.make_clique_bipartite
- networkx.algorithms.clique.graph_clique_number
- networkx.algorithms.clique.graph_number_of_cliques
- networkx.algorithms.clique.node_clique_number
- networkx.algorithms.clique.number_of_cliques
- networkx.algorithms.clique.cliques_containing_node
- networkx.algorithms.cluster.triangles
- networkx.algorithms.cluster.transitivity
- networkx.algorithms.cluster.clustering
- networkx.algorithms.cluster.average_clustering
- networkx.algorithms.cluster.square_clustering
- networkx.algorithms.cluster.generalized_degree
- networkx.algorithms.coloring.greedy_color
- networkx.algorithms.coloring.equitable_color
- networkx.algorithms.coloring.strategy_connected_sequential
- networkx.algorithms.coloring.strategy_connected_sequential_dfs
- networkx.algorithms.coloring.strategy_connected_sequential_bfs
- networkx.algorithms.coloring.strategy_independent_set
- networkx.algorithms.coloring.strategy_largest_first
- networkx.algorithms.coloring.strategy_random_sequential
- networkx.algorithms.coloring.strategy_saturation_largest_first
- networkx.algorithms.coloring.strategy_smallest_last
- networkx.algorithms.communicability_alg.communicability
- networkx.algorithms.communicability_alg.communicability_exp
- Bipartitions
- K-Clique
- Modularity-based communities
- Label propagation
- Fluid Communities
- Measuring partitions
- Partitions via centrality measures
- Validating partitions
- Connectivity
- Strong connectivity
- Weak connectivity
- Attracting components
- Biconnected components
- Semiconnectedness
- Edge-augmentation
- K-edge-components
- K-node-components
- K-node-cutsets
- Flow-based disjoint paths
- Flow-based Connectivity
- Flow-based Minimum Cuts
- Stoer-Wagner minimum cut
- Utils for flow-based connectivity
- networkx.algorithms.core.core_number
- networkx.algorithms.core.k_core
- networkx.algorithms.core.k_shell
- networkx.algorithms.core.k_crust
- networkx.algorithms.core.k_corona
- networkx.algorithms.core.k_truss
- networkx.algorithms.core.onion_layers
- Cycle finding algorithms
- networkx.algorithms.cycles.cycle_basis
- networkx.algorithms.cycles.simple_cycles
- networkx.algorithms.cycles.find_cycle
- networkx.algorithms.cycles.minimum_cycle_basis
- networkx.algorithms.cuts.boundary_expansion
- networkx.algorithms.cuts.conductance
- networkx.algorithms.cuts.cut_size
- networkx.algorithms.cuts.edge_expansion
- networkx.algorithms.cuts.mixing_expansion
- networkx.algorithms.cuts.node_expansion
- networkx.algorithms.cuts.normalized_cut_size
- networkx.algorithms.cuts.volume
- networkx.algorithms.dag.ancestors
- networkx.algorithms.dag.descendants
- networkx.algorithms.dag.topological_sort
- networkx.algorithms.dag.all_topological_sorts
- networkx.algorithms.dag.lexicographical_topological_sort
- networkx.algorithms.dag.is_directed_acyclic_graph
- networkx.algorithms.dag.is_aperiodic
- networkx.algorithms.dag.transitive_closure
- networkx.algorithms.dag.transitive_reduction
- networkx.algorithms.dag.antichains
- networkx.algorithms.dag.dag_longest_path
- networkx.algorithms.dag.dag_longest_path_length
- networkx.algorithms.dag.dag_to_branching
- networkx.algorithms.distance_measures.barycenter
- networkx.algorithms.distance_measures.center
- networkx.algorithms.distance_measures.diameter
- networkx.algorithms.distance_measures.eccentricity
- networkx.algorithms.distance_measures.extrema_bounding
- networkx.algorithms.distance_measures.periphery
- networkx.algorithms.distance_measures.radius
- networkx.algorithms.distance_measures.resistance_distance
- Distance-regular graphs
- networkx.algorithms.distance_regular.is_distance_regular
- networkx.algorithms.distance_regular.is_strongly_regular
- networkx.algorithms.distance_regular.intersection_array
- networkx.algorithms.distance_regular.global_parameters
- networkx.algorithms.dominance.immediate_dominators
- networkx.algorithms.dominance.dominance_frontiers
- networkx.algorithms.efficiency_measures.efficiency
- networkx.algorithms.efficiency_measures.local_efficiency
- networkx.algorithms.efficiency_measures.global_efficiency
- networkx.algorithms.euler.is_eulerian
- networkx.algorithms.euler.eulerian_circuit
- networkx.algorithms.euler.eulerize
- networkx.algorithms.euler.is_semieulerian
- networkx.algorithms.euler.has_eulerian_path
- networkx.algorithms.euler.eulerian_path
- Maximum Flow
- Edmonds-Karp
- Shortest Augmenting Path
- Preflow-Push
- Dinitz
- Boykov-Kolmogorov
- Gomory-Hu Tree
- Utils
- Network Simplex
- Capacity Scaling Minimum Cost Flow
- networkx.algorithms.graphical.is_graphical
- networkx.algorithms.graphical.is_digraphical
- networkx.algorithms.graphical.is_multigraphical
- networkx.algorithms.graphical.is_pseudographical
- networkx.algorithms.graphical.is_valid_degree_sequence_havel_hakimi
- networkx.algorithms.graphical.is_valid_degree_sequence_erdos_gallai
- networkx.algorithms.isolate.is_isolate
- networkx.algorithms.isolate.isolates
- networkx.algorithms.isolate.number_of_isolates
- networkx.algorithms.isomorphism.is_isomorphic
- networkx.algorithms.isomorphism.could_be_isomorphic
- networkx.algorithms.isomorphism.fast_could_be_isomorphic
- networkx.algorithms.isomorphism.faster_could_be_isomorphic
- Advanced Interfaces
- networkx.algorithms.link_prediction.resource_allocation_index
- networkx.algorithms.link_prediction.jaccard_coefficient
- networkx.algorithms.link_prediction.adamic_adar_index
- networkx.algorithms.link_prediction.preferential_attachment
- networkx.algorithms.link_prediction.cn_soundarajan_hopcroft
- networkx.algorithms.link_prediction.ra_index_soundarajan_hopcroft
- networkx.algorithms.link_prediction.within_inter_cluster
- networkx.algorithms.lowest_common_ancestors.all_pairs_lowest_common_ancestor
- networkx.algorithms.lowest_common_ancestors.tree_all_pairs_lowest_common_ancestor
- networkx.algorithms.lowest_common_ancestors.lowest_common_ancestor
- networkx.algorithms.matching.is_matching
- networkx.algorithms.matching.is_maximal_matching
- networkx.algorithms.matching.is_perfect_matching
- networkx.algorithms.matching.maximal_matching
- networkx.algorithms.matching.max_weight_matching
- networkx.algorithms.minors.contracted_edge
- networkx.algorithms.minors.contracted_nodes
- networkx.algorithms.minors.identified_nodes
- networkx.algorithms.minors.quotient_graph
- networkx.algorithms.operators.unary.complement
- networkx.algorithms.operators.unary.reverse
- networkx.algorithms.operators.binary.compose
- networkx.algorithms.operators.binary.union
- networkx.algorithms.operators.binary.disjoint_union
- networkx.algorithms.operators.binary.intersection
- networkx.algorithms.operators.binary.difference
- networkx.algorithms.operators.binary.symmetric_difference
- networkx.algorithms.operators.binary.full_join
- networkx.algorithms.operators.all.compose_all
- networkx.algorithms.operators.all.union_all
- networkx.algorithms.operators.all.disjoint_union_all
- networkx.algorithms.operators.all.intersection_all
- networkx.algorithms.operators.product.cartesian_product
- networkx.algorithms.operators.product.lexicographic_product
- networkx.algorithms.operators.product.rooted_product
- networkx.algorithms.operators.product.strong_product
- networkx.algorithms.operators.product.tensor_product
- networkx.algorithms.operators.product.power
- networkx.algorithms.shortest_paths.generic.shortest_path
- networkx.algorithms.shortest_paths.generic.all_shortest_paths
- networkx.algorithms.shortest_paths.generic.shortest_path_length
- networkx.algorithms.shortest_paths.generic.average_shortest_path_length
- networkx.algorithms.shortest_paths.generic.has_path
- Advanced Interface
- Dense Graphs
- A* Algorithm
- networkx.algorithms.similarity.graph_edit_distance
- networkx.algorithms.similarity.optimal_edit_paths
- networkx.algorithms.similarity.optimize_graph_edit_distance
- networkx.algorithms.similarity.optimize_edit_paths
- networkx.algorithms.similarity.simrank_similarity
- networkx.algorithms.similarity.simrank_similarity_numpy
- networkx.algorithms.simple_paths.all_simple_paths
- networkx.algorithms.simple_paths.is_simple_path
- networkx.algorithms.simple_paths.shortest_simple_paths
- networkx.algorithms.smallworld.random_reference
- networkx.algorithms.smallworld.lattice_reference
- networkx.algorithms.smallworld.sigma
- networkx.algorithms.smallworld.omega
- networkx.algorithms.structuralholes.constraint
- networkx.algorithms.structuralholes.effective_size
- networkx.algorithms.structuralholes.local_constraint
- networkx.algorithms.tournament.hamiltonian_path
- networkx.algorithms.tournament.is_reachable
- networkx.algorithms.tournament.is_strongly_connected
- networkx.algorithms.tournament.is_tournament
- networkx.algorithms.tournament.random_tournament
- networkx.algorithms.tournament.score_sequence
- Depth First Search
- Breadth First Search
- Beam search
- Depth First Search on Edges
- Breadth First Search on Edges