data_overview           Obtain overview of available network data
fict_actually           Two-mode network of Love Actually characters
                        and their scene appearances (Robinson 2015)
fict_friends            One-mode undirected Friends character scene
                        co-appearances (McNulty, 2020)
fict_greys              One-mode undirected network of characters
                        hook-ups on Grey's Anatomy TV show
fict_lotr               One-mode network of Lord of the Rings character
                        interactions
fict_potter             Six complex one-mode support data in Harry
                        Potter books (Bossaert and Meidert 2013)
fict_starwars           Seven one-mode Star Wars character interactions
                        (Gabasova 2016)
fict_thrones            One-mode Game of Thrones kinship (Glander 2017)
glossary                Adding network glossary items
interface               Console command line interface
irps_911                One-mode multiplex network of relationships
                        between 9/11 hijackers (Krebs 2002)
irps_blogs              One-mode directed network of links between US
                        political blogs (Adamic and Glance 2005)
irps_books              One-mode undirected network of co-purchased
                        books about US politics on Amazon
irps_nuclear            Two-mode dynamic discourse network of Germany's
                        nuclear energy phase-out (Haunss and Hollway
                        2023)
irps_revere             Two-mode network of Paul Revere's (Fischer
                        1995)
irps_usgeo              One-mode undirected network of US state
                        contiguity (Meghanathan 2017)
irps_wwi                One-mode signed network of relationships
                        between European major powers (Antal et al.
                        2006)
ison_adolescents        One-mode subset of the adolescent society
                        network (Coleman 1961)
ison_algebra            Multiplex graph object of friends, social, and
                        task ties (McFarland 2001)
ison_brandes            One-mode and two-mode centrality demonstration
                        networks
ison_dolphins           One-mode, undirected network of frequent
                        associations in a dolphin pod (Lusseau et al.
                        2003)
ison_emotions           One-mode, weighted network of emotional
                        transitions (Trampe et al. 2015)
ison_hightech           One-mode multiplex, directed network of
                        managers of a high-tech company (Krackhardt
                        1987)
ison_judo_moves         One-mode judo moves network (Bastazini 2025)
ison_karateka           One-mode karateka network (Zachary 1977)
ison_koenigsberg        One-mode Seven Bridges of Koenigsberg network
                        (Euler 1741)
ison_laterals           Two-mode projection examples (Hollway 2021)
ison_lawfirm            One-mode lawfirm (Lazega 2001)
ison_marvel             Multilevel two-mode affiliation, signed
                        one-mode networks of Marvel comic book
                        characters (Yuksel 2017)
ison_monks              Multiplex network of three one-mode signed,
                        weighted networks and a three-wave longitudinal
                        network of monks (Sampson 1969)
ison_networkers         One-mode EIES dataset (Freeman and Freeman
                        1979)
ison_physicians         Four multiplex one-mode physician diffusion
                        data (Coleman, Katz, and Menzel, 1966)
ison_southern_women     Two-mode southern women (Davis, Gardner and
                        Gardner 1941)
make_cran               Making networks of inter- and intra-package
                        dependencies
make_create             Making networks with defined structures
make_ego                Making ego networks through interviewing
make_explicit           Making networks with explicit ties
make_learning           Making learning models on networks
make_mnet               Multilevel, multiplex, multimodal, signed,
                        dynamic or longitudinal changing networks
make_motifs             Making motifs
make_play               Making diffusion models on networks
make_random             Making unconditional and conditional random
                        networks
make_read               Making networks from external files
make_stochastic         Making networks with a stochastic element
make_write              Making networks to external files
manip_as                Modifying network classes
manip_changes           Modifying changes to nodes over time
manip_correlation       Node correlation
manip_deformat          Modifying network formats by removing
                        information
manip_from              Joining lists of networks, graphs, and matrices
manip_info              Modifying network data
manip_levels            Modifying network levels
manip_miss              Modifying missing tie data
manip_nodes             Modifying node data
manip_paths             Modifying networks paths
manip_permutation       Network permutation
manip_preformat         Modifying network formats
manip_project           Modifying networks projection
manip_reformat          Modifying network formats
manip_scope             Modifying networks scope
manip_split             Splitting networks into lists
manip_ties              Modifying tie data
mark_core               Core-periphery clustering algorithms
mark_diff               Marking nodes based on diffusion properties
mark_features           Marking networks features
mark_format             Marking networks formats
mark_is                 Marking networks classes
mark_nodes              Marking nodes based on structural properties
mark_select             Marking nodes for selection based on measures
mark_tie_select         Marking ties for selection based on measures
mark_ties               Marking ties based on structural properties
mark_triangles          Marking ties based on structural properties
measure_attributes      Describing attributes of nodes or ties in a
                        network
measure_central_between
                        Measures of betweenness-like centrality and
                        centralisation
measure_central_close   Measures of closeness-like centrality and
                        centralisation
measure_central_degree
                        Measures of degree-like centrality and
                        centralisation
measure_central_eigen   Measures of eigenvector-like centrality and
                        centralisation
measure_closure         Measures of network closure
measure_cohesion        Measures of network cohesion or connectedness
measure_diffusion_infection
                        Measures of network infection
measure_diffusion_net   Measures of network diffusion
measure_diffusion_node
                        Measures of nodes in a diffusion
measure_features        Measures of network topological features
measure_heterogeneity   Measures of network diversity
measure_hierarchy       Graph theoretic dimensions of hierarchy
measure_holes           Measures of structural holes
measure_periods         Measures of network change
measure_properties      Describing network properties
member_brokerage        Memberships of brokerage
member_cliques          Clique partitioning algorithms
member_community_hier   Hierarchical community partitioning algorithms
member_community_non    Non-hierarchical community partitioning
                        algorithms
member_components       Component partitioning algorithms
member_diffusion        Membership of nodes in a diffusion
member_equivalence      Equivalence clustering algorithms
model_cluster           Methods for equivalence clustering
model_kselect           Methods for selecting clusters
motif_brokerage         Motifs of brokerage
motif_diffusion         Motifs of diffusion
motif_net               Motifs at the network level
motif_node              Motifs at the nodal level
tutorials               Open and extract code from tutorials
