motif_node | R Documentation |
These functions include ways to take a census of the positions of nodes in a network:
node_by_tie()
returns a census of the ties in a network.
For directed networks, out-ties and in-ties are bound together.
For multiplex networks, the various types of ties are bound together.
node_by_triad()
returns a census of the triad configurations
nodes are embedded in.
node_by_tetrad()
returns a census of nodes' positions
in motifs of four nodes.
node_by_path()
returns the shortest path lengths
of each node to every other node in the network.
node_by_tie(.data)
node_by_dyad(.data)
node_by_triad(.data)
node_by_tetrad(.data)
node_by_path(.data)
.data |
An object of a manynet-consistent class:
|
The nodal tetrad census counts the number of four-node configurations that each node is embedded in. The function returns a matrix with a special naming convention:
E4 (aka co-K4): This is an empty set of four nodes; no ties
I4 (aka co-diamond): This is a set of four nodes with just one tie
H4 (aka co-C4): This set of four nodes includes two non-adjacent ties
L4 (aka co-paw): This set of four nodes includes two adjacent ties
D4 (aka co-claw): This set of four nodes includes three adjacent ties, in the form of a triangle with one isolate
U4 (aka P4, four-actor line): This set of four nodes includes three ties arranged in a line
Y4 (aka claw): This set of four nodes includes three ties all adjacent to a single node
P4 (aka paw, kite): This set of four nodes includes four ties arranged as a triangle with an extra tie hanging off of one of the nodes
C4 (aka bifan): This is a symmetric box or 4-cycle or set of shared choices
Z4 (aka diamond): This resembles C4 but with an extra tie cutting across the box
X4 (aka K4): This resembles C4 but with two extra ties cutting across the box; a realisation of all possible ties
Graphs of these motifs can be shown using
plot(node_by_tetrad(ison_southern_women))
.
Holland, Paul W., and Samuel Leinhardt. 1970. "A Method for Detecting Structure in Sociometric Data". American Journal of Sociology, 76: 492-513. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/B978-0-12-442450-0.50028-6")}
Davis, James A., and Samuel Leinhardt. 1967. “The Structure of Positive Interpersonal Relations in Small Groups.” 55.
Ortmann, Mark, and Ulrik Brandes. 2017. “Efficient Orbit-Aware Triad and Quad Census in Directed and Undirected Graphs.” Applied Network Science 2(1):13. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s41109-017-0027-2")}.
McMillan, Cassie, and Diane Felmlee. 2020. "Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks". Social Psychology Quarterly 83(4): 383-404. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0190272520944151")}
Dijkstra, Edsger W. 1959. "A note on two problems in connexion with graphs". Numerische Mathematik 1, 269-71. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF01386390")}.
Opsahl, Tore, Filip Agneessens, and John Skvoretz. 2010. "Node centrality in weighted networks: Generalizing degree and shortest paths". Social Networks 32(3): 245-51. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.socnet.2010.03.006")}.
Other motifs:
motif_brokerage
,
motif_diffusion
,
motif_net
task_eg <- to_named(to_uniplex(ison_algebra, "tasks"))
(tie_cen <- node_by_tie(task_eg))
node_by_dyad(ison_networkers)
(triad_cen <- node_by_triad(task_eg))
node_by_tetrad(ison_southern_women)
node_by_path(ison_adolescents)
node_by_path(ison_southern_women)
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