Multimodal Network Analysis and More
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Documentation for package ‘migraph’ version 1.1.0
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-- B --
| between_centrality | Measures of betweenness-like centrality and centralisation |
| brokerage_census | Censuses of brokerage motifs |
-- C --
| close_centrality | Measures of closeness-like centrality and centralisation |
| closure | Measures of network closure |
| cluster | Methods for equivalence clustering |
| cluster_concor | Methods for equivalence clustering |
| cluster_hierarchical | Methods for equivalence clustering |
| cohesion | Measures of network cohesion or connectedness |
| community | Community graph partitioning algorithms |
| components | Component partitioning algorithms |
| core-periphery | Core-periphery clustering algorithms |
-- D --
| degree_centrality | Measures of degree-like centrality and centralisation |
-- E --
| eigenv_centrality | Measures of eigenvector-like centrality and centralisation |
| equivalence | Equivalence clustering algorithms |
-- F --
| features | Measures of network topological features |
-- H --
| heterogeneity | Measures of network diversity |
| holes | Measures of structural holes |
-- I --
| is | Marking networks based on their properties |
| is_acyclic | Marking networks based on their properties |
| is_aperiodic | Marking networks based on their properties |
| is_connected | Marking networks based on their properties |
| is_eulerian | Marking networks based on their properties |
| is_perfect_matching | Marking networks based on their properties |
-- K --
| kselect | Methods for selecting clusters |
| k_elbow | Methods for selecting clusters |
| k_silhouette | Methods for selecting clusters |
| k_strict | Methods for selecting clusters |
-- M --
| mark_nodes | Marking nodes based on their properties |
| mark_ties | Marking ties based on their properties |
| mpn_bristol | Multimodal (3) Bristol protest events, 1990-2002 (Diani and Bison 2004) |
| mpn_cow | One-mode interstate trade relations and two-mode state membership in IGOs (COW) |
| mpn_cow_igo | One-mode interstate trade relations and two-mode state membership in IGOs (COW) |
| mpn_cow_trade | One-mode interstate trade relations and two-mode state membership in IGOs (COW) |
| mpn_DemSxP | Two-mode 112th Congress Senate Voting (Knoke et al. 2021) |
| mpn_DE_1990 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_DE_2008 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_elite_mex | One-mode Mexican power elite database (Knoke 1990) |
| mpn_elite_usa | Two-mode and three-mode American power elite database (Domhoff 2016) |
| mpn_elite_usa_advice | Two-mode and three-mode American power elite database (Domhoff 2016) |
| mpn_elite_usa_money | Two-mode and three-mode American power elite database (Domhoff 2016) |
| mpn_evs | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_IT_1990 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_IT_2008 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_OverSxP | Two-mode 112th Congress Senate Voting (Knoke et al. 2021) |
| mpn_RepSxP | Two-mode 112th Congress Senate Voting (Knoke et al. 2021) |
| mpn_ryanair | One-mode EU policy influence network, June 2004 (Christopoulos 2006) |
| mpn_senate112 | Two-mode 112th Congress Senate Voting (Knoke et al. 2021) |
| mpn_UK_1990 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
| mpn_UK_2008 | Two-mode European Values Survey, 1990 and 2008 (EVS 2020) |
-- N --
| network_adhesion | Measures of network cohesion or connectedness |
| network_assortativity | Measures of network diversity |
| network_balance | Measures of network topological features |
| network_betweenness | Measures of betweenness-like centrality and centralisation |
| network_brokerage_census | Censuses of brokerage motifs |
| network_census | Censuses of motifs at the network level |
| network_closeness | Measures of closeness-like centrality and centralisation |
| network_cohesion | Measures of network cohesion or connectedness |
| network_components | Measures of network cohesion or connectedness |
| network_congruency | Measures of network closure |
| network_core | Measures of network topological features |
| network_degree | Measures of degree-like centrality and centralisation |
| network_density | Measures of network cohesion or connectedness |
| network_diameter | Measures of network cohesion or connectedness |
| network_diversity | Measures of network diversity |
| network_dyad_census | Censuses of motifs at the network level |
| network_eigenvector | Measures of eigenvector-like centrality and centralisation |
| network_equivalency | Measures of network closure |
| network_factions | Measures of network topological features |
| network_harmonic | Measures of closeness-like centrality and centralisation |
| network_heterophily | Measures of network diversity |
| network_indegree | Measures of degree-like centrality and centralisation |
| network_length | Measures of network cohesion or connectedness |
| network_mixed_census | Censuses of motifs at the network level |
| network_modularity | Measures of network topological features |
| network_outdegree | Measures of degree-like centrality and centralisation |
| network_reach | Measures of closeness-like centrality and centralisation |
| network_reciprocity | Measures of network closure |
| network_reg | Linear and logistic regression for network data |
| network_richness | Measures of network diversity |
| network_scalefree | Measures of network topological features |
| network_smallworld | Measures of network topological features |
| network_transitivity | Measures of network closure |
| network_triad_census | Censuses of motifs at the network level |
| node_alpha | Measures of eigenvector-like centrality and centralisation |
| node_automorphic_equivalence | Equivalence clustering algorithms |
| node_betweenness | Measures of betweenness-like centrality and centralisation |
| node_bridges | Measures of structural holes |
| node_brokerage_census | Censuses of brokerage motifs |
| node_census | Censuses of nodes' motifs |
| node_closeness | Measures of closeness-like centrality and centralisation |
| node_components | Component partitioning algorithms |
| node_constraint | Measures of structural holes |
| node_core | Core-periphery clustering algorithms |
| node_coreness | Component partitioning algorithms |
| node_degree | Measures of degree-like centrality and centralisation |
| node_diversity | Measures of network diversity |
| node_edge_betweenness | Community graph partitioning algorithms |
| node_efficiency | Measures of structural holes |
| node_effsize | Measures of structural holes |
| node_eigenvector | Measures of eigenvector-like centrality and centralisation |
| node_equivalence | Equivalence clustering algorithms |
| node_fast_greedy | Community graph partitioning algorithms |
| node_harmonic | Measures of closeness-like centrality and centralisation |
| node_heterophily | Measures of network diversity |
| node_hierarchy | Measures of structural holes |
| node_indegree | Measures of degree-like centrality and centralisation |
| node_is_core | Marking nodes based on their properties |
| node_is_cutpoint | Marking nodes based on their properties |
| node_is_isolate | Marking nodes based on their properties |
| node_is_max | Marking nodes based on their properties |
| node_is_min | Marking nodes based on their properties |
| node_is_random | Marking nodes based on their properties |
| node_kernighanlin | Community graph partitioning algorithms |
| node_outdegree | Measures of degree-like centrality and centralisation |
| node_pagerank | Measures of eigenvector-like centrality and centralisation |
| node_path_census | Censuses of nodes' motifs |
| node_power | Measures of eigenvector-like centrality and centralisation |
| node_quad_census | Censuses of nodes' motifs |
| node_reach | Measures of closeness-like centrality and centralisation |
| node_reciprocity | Measures of network closure |
| node_redundancy | Measures of structural holes |
| node_regular_equivalence | Equivalence clustering algorithms |
| node_richness | Measures of network diversity |
| node_strong_components | Component partitioning algorithms |
| node_structural_equivalence | Equivalence clustering algorithms |
| node_tie_census | Censuses of nodes' motifs |
| node_transitivity | Measures of network closure |
| node_triad_census | Censuses of nodes' motifs |
| node_walktrap | Community graph partitioning algorithms |
| node_weak_components | Component partitioning algorithms |
-- O --
| over | Helper functions for measuring over splits of networks |
| over_time | Helper functions for measuring over splits of networks |
| over_waves | Helper functions for measuring over splits of networks |
-- P --
| play | Functions to play games on networks |
| play_diffusion | Functions to play games on networks |
| play_diffusions | Functions to play games on networks |
| play_learning | Functions to play games on networks |
| play_segregation | Functions to play games on networks |
-- R --
| regression | Linear and logistic regression for network data |
-- T --
| tests | Conditional uniform graph and permutation tests |
| test_permutation | Conditional uniform graph and permutation tests |
| test_random | Conditional uniform graph and permutation tests |
| tie_betweenness | Measures of betweenness-like centrality and centralisation |
| tie_closeness | Measures of closeness-like centrality and centralisation |
| tie_degree | Measures of degree-like centrality and centralisation |
| tie_eigenvector | Measures of eigenvector-like centrality and centralisation |
| tie_is_bridge | Marking ties based on their properties |
| tie_is_loop | Marking ties based on their properties |
| tie_is_max | Marking ties based on their properties |
| tie_is_min | Marking ties based on their properties |
| tie_is_multiple | Marking ties based on their properties |
| tie_is_reciprocated | Marking ties based on their properties |