transforms netify network objects into igraph objects (also available as netify_to_igraph),
preserving network structure and optionally including nodal and dyadic attributes as vertex
and edge attributes.
Usage
netify_to_igraph(
netlet,
add_nodal_attribs = TRUE,
add_dyad_attribs = TRUE,
.quiet_na = FALSE
)
to_igraph(
netlet,
add_nodal_attribs = TRUE,
add_dyad_attribs = TRUE,
.quiet_na = FALSE
)Arguments
- netlet
a netify object containing network data. single-layer networks return a single igraph (or a list of igraphs for longitudinal input); multilayer networks return a named list keyed by layer, with each element itself an igraph or list of igraphs.
- add_nodal_attribs
logical. if TRUE (default), includes nodal attributes from the netify object as vertex attributes in the igraph object. set to FALSE to create a network with structure only.
- add_dyad_attribs
logical. if TRUE (default), includes dyadic attributes from the netify object as edge attributes in the igraph object. set to FALSE to exclude edge covariates.
- .quiet_na
logical. internal flag to suppress the one-shot na-to-zero cli alert when called from inside netify's own summary path. default
FALSE; do not set in user code.
Value
an igraph object or list of igraph objects:
- cross-sectional networks
returns a single igraph object
- longitudinal networks
returns a named list of igraph objects, with names corresponding to time periods
- multilayer networks
returns a named list keyed by layer; each element is itself an igraph or (for longitudinal) a list of igraphs
the resulting igraph object(s) will have:
vertices named according to actors in the netify object
edge weights from the netify weight variable (if present)
vertex attributes for each nodal variable (if add_nodal_attribs = TRUE)
edge attributes for each dyadic variable (if add_dyad_attribs = TRUE)
Details
the conversion process handles different netify structures:
cross-sectional: direct conversion to a single igraph object
longitudinal arrays: internally converted to list format, then each time slice becomes a separate igraph object
longitudinal lists: each time period converted to separate igraph object
for directed networks, the resulting igraph object will be directed. for undirected networks, the igraph object will be undirected. edge weights in the netify object become edge weights in igraph.
when longitudinal data includes actors that appear or disappear over time, each time period's igraph object will contain only the actors present in that period.
Examples
# load example data
data(icews)
# example 1: cross-sectional network with attributes
icews_10 <- icews[icews$year == 2010, ]
# create netify object with attributes
dvars <- c("matlCoop", "verbConf", "matlConf")
nvars <- c("i_polity2", "i_log_gdp", "i_log_pop")
verbCoop_net <- netify(
icews_10,
actor1 = "i", actor2 = "j",
symmetric = FALSE,
weight = "verbCoop",
dyad_vars = dvars,
dyad_vars_symmetric = rep(FALSE, length(dvars)),
nodal_vars = nvars
)
# convert to igraph
ig <- netify_to_igraph(verbCoop_net)
#> ℹ `netify_to_igraph()` kept the igraph edge set unchanged.
#> • 444 dyadic covariate cells on non-edges cannot be stored as igraph edge
#> attributes.
#> This message is displayed once per session.
# examine the result
ig
#> IGRAPH 3130227 DNW- 152 9976 --
#> + attr: name (v/c), i_polity2 (v/n), i_log_gdp (v/n), i_log_pop (v/n),
#> | weight (e/n), verbCoop (e/n), matlCoop (e/n), verbConf (e/n),
#> | matlConf (e/n)
#> + edges from 3130227 (vertex names):
#> [1] Afghanistan->Argentina Afghanistan->Armenia Afghanistan->Australia
#> [4] Afghanistan->Austria Afghanistan->Azerbaijan Afghanistan->Bahrain
#> [7] Afghanistan->Bangladesh Afghanistan->Belgium Afghanistan->Brazil
#> [10] Afghanistan->Bulgaria Afghanistan->Canada Afghanistan->China
#> [13] Afghanistan->Colombia Afghanistan->Croatia Afghanistan->Cuba
#> [16] Afghanistan->Denmark Afghanistan->Egypt Afghanistan->Estonia
#> + ... omitted several edges
igraph::vcount(ig) # number of vertices
#> [1] 152
igraph::ecount(ig) # number of edges
#> [1] 9976
igraph::vertex_attr_names(ig) # nodal attributes
#> [1] "name" "i_polity2" "i_log_gdp" "i_log_pop"
igraph::edge_attr_names(ig) # edge attributes
#> [1] "weight" "verbCoop" "matlCoop" "verbConf" "matlConf"
# access specific attributes
igraph::V(ig)$i_polity2 # polity scores
#> [1] NA 9 2 -2 8 5 10 10 -7 -5 5 -7 8 7 7 NA 8 9
#> [19] 0 6 2 -4 10 10 -1 -2 10 -7 7 9 -4 5 10 0 9 -7
#> [37] 10 10 2 8 5 -3 8 -6 9 -3 -4 10 10 3 -5 6 10 8
#> [55] 10 8 1 6 6 0 7 10 9 8 -7 3 10 6 10 9 10 -3
#> [73] -6 8 -10 8 -7 4 -7 8 6 6 -7 10 10 9 0 6 6 7
#> [91] -2 10 8 9 10 -6 5 -6 6 10 10 9 3 4 10 -8 6 9
#> [109] 4 8 9 8 10 10 -10 9 4 -4 -10 7 7 -2 10 10 8 0
#> [127] 9 10 3 -2 5 10 10 -7 -3 -1 4 -2 10 -4 -9 -1 6 -8
#> [145] 10 10 10 -9 -7 -2 7 1
igraph::E(ig)$matlCoop # material cooperation
#> [1] 0 2 0 0 0 0 0 1 0 1 0 2 0 0 0 0 0 0
#> [19] 2 2 20 2 0 3 0 1 5 0 2 3 0 0 10 0 0 1
#> [37] 2 0 0 0 2 1 0 0 0 4 0 0 2 0 0 0 39 1
#> [55] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [73] 1 0 1 4 30 0 0 0 4 0 0 0 1 0 0 0 0 0
#> [91] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [109] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [127] 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [145] 0 0 0 0 0 0 0 3 0 0 1 0 3 0 0 0 0 0
#> [163] 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [181] 0 0 1 0 0 0 2 0 0 0 1 0 0 0 0 0 0 0
#> [199] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [217] 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0
#> [235] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
#> [253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [271] 0 0 0 3 2 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [289] 1 1 0 0 0 0 0 2 3 0 20 2 0 0 0 0 0 0
#> [307] 2 1 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0
#> [325] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
#> [343] 0 3 0 0 0 0 0 0 4 0 2 0 0 0 9 0 0 0
#> [361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0
#> [379] 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 0 0
#> [397] 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0 0 1
#> [415] 0 0 4 3 1 2 0 1 2 0 0 0 0 0 2 2 0 2
#> [433] 0 0 0 0 0 1 0 13 11 0 6 0 2 0 0 5 0 0
#> [451] 0 0 2 1 1 0 0 1 4 0 0 0 0 12 3 3 0 0
#> [469] 9 3 0 2 0 0 0 0 2 0 0 0 1 0 1 0 0 0
#> [487] 2 3 1 0 0 4 0 0 0 20 16 1 3 2 0 0 0 0
#> [505] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0
#> [523] 0 0 0 1 0 0 0 0 0 1 0 0 0 0 4 0 0 0
#> [541] 0 0 1 0 2 0 1 0 0 0 1 0 0 0 0 1 0 0
#> [559] 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0
#> [577] 0 0 0 1 0 0 0 0 1 0 0 0 5 2 0 0 0 0
#> [595] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [613] 1 0 0 1 0 4 1 0 0 1 0 0 1 0 0 0 0 0
#> [631] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [649] 0 0 0 0 12 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [667] 0 1 0 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [685] 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2
#> [703] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [721] 0 0 2 0 0 1 0 0 0 0 0 9 0 1 0 0 0 0
#> [739] 0 1 0 0 0 4 2 0 0 0 0 0 0 0 0 0 1 1
#> [757] 0 0 2 0 0 0 2 0 0 1 0 1 0 0 0 0 0 3
#> [775] 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0
#> [793] 0 5 0 0 0 2 0 0 0 32 0 1 2 0 0 0 0 0
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#> [829] 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0
#> [847] 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1
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#> [1081] 1 1 0 0 0 0 1 1 0 0 3 0 0 0 8 12 0 1
#> [1099] 0 7 0 0 2 1 0 0 0 0 0 2 0 0 0 0 0 1
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#> [1315] 0 1 0 21 0 0 2 0 1 0 0 0 0 0 0 0 0 3
#> [1333] 0 12 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2
#> [1351] 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0
#> [1369] 0 7 0 17 0 8 1 0 0 0 0 0 0 0 0 3 0 0
#> [1387] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1405] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1423] 0 11 0 0 0 0 6 0 0 0 1 0 0 0 3 0 0 1
#> [1441] 4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [1459] 0 0 7 0 5 0 0 0 0 0 1 0 5 0 0 0 0 0
#> [1477] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0
#> [1495] 1 0 0 9 2 0 0 0 1 0 0 3 2 0 1 0 0 0
#> [1513] 0 2 1 0 0 0 0 0 0 0 1 0 0 1 13 0 0 0
#> [1531] 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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#> [1621] 0 0 0 0 0 1 0 0 0 1 0 1 0 0 2 0 0 2
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#> [1693] 0 0 17 2 0 5 3 0 3 0 0 0 3 2 0 2 3 2
#> [1711] 4 0 0 1 18 2 1 0 2 0 3 3 1 4 1 4 0 0
#> [1729] 0 2 1 0 0 3 3 0 0 0 11 6 0 6 4 0 0 0
#> [1747] 8 1 0 1 1 53 1 7 5 9 3 1 0 2 0 56 1 2
#> [1765] 4 49 5 0 10 5 1 1 5 0 1 0 2 1 0 2 3 0
#> [1783] 2 1 6 0 3 6 3 0 1 0 0 4 0 0 118 0 0 3
#> [1801] 6 0 3 0 0 17 8 0 1 2 5 0 0 4 6 0 8 13
#> [1819] 0 0 0 3 1 3 11 0 0 2 3 1 0 3 50 0 3 27
#> [1837] 7 14 13 0 0 0 1 2 0 0 2 0 2 0 1 0 0 0
#> [1855] 0 0 0 3 0 1 0 0 0 1 0 0 5 0 0 0 0 0
#> [1873] 0 0 0 2 0 0 2 0 0 0 0 0 0 0 1 0 4 0
#> [1891] 6 0 0 0 0 0 1 0 0 0 0 0 0 0 18 0 0 0
#> [1909] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [1927] 0 0 0 0 0 0 0 0 0 1 0 0 3 0 0 0 0 0
#> [1945] 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0
#> [1963] 2 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [1981] 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0
#> [1999] 0 0 1 1 1 1 0 1 0 0 0 0 0 0 1 0 0 0
#> [2017] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [2035] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [2053] 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [2071] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [2089] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
#> [2107] 0 5 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 1
#> [2125] 0 0 0 0 2 0 1 0 0 0 0 1 0 0 5 0 0 0
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#> [2809] 0 2 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0
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#> [2863] 0 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
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#> [2899] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 2 11
#> [2917] 0 6 0 0 0 1 0 0 0 0 0 0 0 2 13 0 0 0
#> [2935] 1 1 0 2 1 9 2 0 1 0 0 1 2 2 3 0 0 0
#> [2953] 0 0 2 0 0 1 0 2 0 2 0 0 0 0 13 0 0 3
#> [2971] 2 20 2 0 1 1 0 1 0 1 2 0 0 2 0 0 8 0
#> [2989] 0 0 0 0 0 0 2 4 18 0 1 2 2 0 0 1 0 1
#> [3007] 12 1 0 7 2 0 0 0 0 0 16 9 2 1 1 1 0 0
#> [3025] 0 1 1 7 2 0 0 0 0 3 0 0 1 0 0 0 2 0
#> [3043] 1 5 2 0 0 5 4 0 0 0 0 0 0 0 0 0 0 0
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#> [3241] 0 1 0 3 0 5 0 0 0 16 0 1 0 2 0 11 11 0
#> [3259] 11 6 2 0 2 2 0 0 0 0 1 1 0 1 0 0 0 0
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#> [4141] 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
#> [4159] 2 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
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#> [4267] 0 0 0 2 0 0 4 4 0 0 0 0 0 2 2 0 0 1
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#> [4501] 0 1 19 0 0 0 0 2 3 0 0 6 0 0 0 0 2 0
#> [4519] 0 1 3 4 1 0 0 0 0 0 0 2 0 0 2 3 0 0
#> [4537] 1 5 0 13 0 0 0 2 0 0 2 54 1 5 7 7 4 3
#> [4555] 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [4573] 0 0 0 12 0 0 0 0 0 0 6 0 0 0 0 6 7 0
#> [4591] 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1
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#> [4645] 0 0 0 0 0 0 1 0 0 3 0 0 2 0 0 0 0 0
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#> [5257] 0 0 0 2 0 6 2 2 0 5 0 0 2 0 0 0 0 0
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#> [5293] 0 0 0 1 0 0 6 0 0 0 1 0 1 9 0 0 0 0
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#> [5887] 0 0 0 0 2 1 4 0 0 0 0 3 0 0 0 0 1 0
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#> [6175] 5 0 0 0 0 0 0 0 3 0 0 0 0 2 3 0 0 6
#> [6193] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 12 0 0
#> [6211] 7 6 2 0 0 0 0 0 5 0 0 6 2 0 1 0 0 0
#> [6229] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 27 2 0
#> [6247] 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0
#> [6265] 0 0 0 3 1 0 1 0 0 0 0 0 1 0 0 0 0 0
#> [6283] 0 0 0 0 0 0 0 0 0 1 1 1 2 0 0 0 1 0
#> [6301] 0 0 0 0 1 1 0 0 0 0 0 4 0 0 0 0 1 0
#> [6319] 0 0 0 0 0 6 6 0 0 4 0 1 5 0 0 0 0 0
#> [6337] 0 0 0 1 0 0 0 4 0 0 0 1 0 0 1 0 0 0
#> [6355] 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 2
#> [6373] 0 0 1 0 0 0 0 0 0 0 3 5 0 0 0 0 0 7
#> [6391] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 2 0
#> [6409] 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0
#> [6427] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [6445] 0 1 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [6463] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 4 2 0 0
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#> [6499] 0 0 3 0 0 2 0 0 0 0 0 0 0 0 0 1 0 4
#> [6517] 4 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 1 1
#> [6535] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0
#> [6553] 0 0 0 0 0 0 0 0 8 10 0 0 0 1 0 1 0 0
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#> [6769] 0 0 1 0 0 0 0 3 0 0 0 0 0 1 6 32 0 0
#> [6787] 0 1 0 0 0 2 0 0 7 0 0 0 0 3 0 0 0 1
#> [6805] 0 0 0 0 0 0 0 3 0 0 2 0 2 0 0 0 1 0
#> [6823] 0 0 4 0 4 0 0 0 0 0 0 0 0 0 0 1 0 0
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#> [6877] 1 0 0 0 0 2 1 0 7 2 4 0 0 0 0 1 0 0
#> [6895] 0 0 0 0 0 0 0 0 2 0 2 0 0 0 0 2 0 0
#> [6913] 5 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0
#> [6931] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0
#> [6949] 0 0 2 0 1 0 0 15 0 0 0 0 0 0 1 0 0 1
#> [6967] 0 1 0 0 0 0 1 0 0 0 3 0 0 0 0 0 0 0
#> [6985] 4 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0
#> [7003] 0 0 0 0 0 0 3 0 0 0 0 0 0 4 0 0 8 0
#> [7021] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0
#> [7039] 0 0 0 0 0 0 0 2 7 0 2 0 0 1 0 0 1 0
#> [7057] 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0
#> [7075] 0 0 0 0 2 9 0 0 0 0 1 0 0 0 0 0 0 0
#> [7093] 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1
#> [7111] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7129] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7147] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [7165] 0 1 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [7183] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7201] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7219] 0 0 0 0 0 0 0 2 0 0 0 1 0 0 0 0 0 1
#> [7237] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7255] 0 0 7 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [7273] 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0
#> [7291] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 0
#> [7309] 0 1 0 2 0 0 0 2 0 0 0 0 0 0 0 13 0 0
#> [7327] 0 0 1 2 0 0 2 0 0 0 0 0 0 0 0 0 1 0
#> [7345] 0 0 0 8 0 0 0 26 0 0 0 0 9 1 1 7 0 1
#> [7363] 33 0 0 0 2 4 2 0 0 4 23 22 4 0 1 0 0 2
#> [7381] 0 0 0 0 0 1 0 0 0 5 0 0 8 51 0 0 0 0
#> [7399] 0 0 13 1 19 2 27 1 0 15 0 1 0 5 0 9 3 0
#> [7417] 88 0 1 6 0 0 0 0 0 0 0 0 14 2 0 0 0 1
#> [7435] 0 0 0 2 0 5 0 1 2 0 37 0 0 0 0 0 0 0
#> [7453] 0 0 3 14 0 0 1 7 0 0 17 10 0 1 0 0 0 36
#> [7471] 0 6 71 0 2 9 1 0 0 0 0 0 0 1 0 0 0 1
#> [7489] 0 0 0 0 2 0 0 0 0 2 0 0 0 0 0 0 0 0
#> [7507] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 16
#> [7525] 0 0 2 0 0 4 0 0 7 0 0 0 2 0 0 0 0 0
#> [7543] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3
#> [7561] 0 0 0 0 0 0 1 0 3 0 0 0 1 0 0 0 0 0
#> [7579] 1 0 0 0 0 1 4 0 0 0 0 0 0 0 0 0 5 0
#> [7597] 0 19 0 1 0 0 0 0 1 0 0 7 0 0 2 0 0 0
#> [7615] 0 1 2 0 1 0 0 0 0 0 0 15 0 0 1 24 0 0
#> [7633] 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0
#> [7651] 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0
#> [7669] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [7687] 0 0 0 0 0 0 0 0 0 2 0 0 3 0 0 0 0 0
#> [7705] 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0 0
#> [7723] 0 0 0 0 0 0 8 0 0 0 0 0 1 0 0 0 0 0
#> [7741] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [7759] 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0
#> [7777] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [7795] 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [7813] 0 0 0 0 3 0 0 0 0 3 0 6 0 0 0 0 0 0
#> [7831] 0 0 0 0 0 0 1 4 0 0 0 0 0 0 0 0 14 1
#> [7849] 0 0 0 5 0 0 0 0 0 0 0 0 0 0 0 2 0 0
#> [7867] 0 3 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 2
#> [7885] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
#> [7903] 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [7921] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
#> [7939] 0 0 0 0 0 0 0 0 2 0 0 0 0 0 1 0 0 0
#> [7957] 0 0 0 23 0 3 0 0 0 3 0 9 0 0 0 0 5 0
#> [7975] 0 1 0 0 0 0 5 0 0 1 0 0 0 0 0 0 8 10
#> [7993] 0 1 0 1 1 1 0 1 0 0 0 0 0 56 0 14 1 4
#> [8011] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0
#> [8029] 0 0 1 0 0 2 0 0 0 0 0 0 3 0 0 0 0 0
#> [8047] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [8065] 0 0 0 0 2 0 0 2 1 1 0 1 0 0 0 0 2 0
#> [8083] 0 1 0 0 0 4 0 0 35 0 0 1 0 5 3 0 1 0
#> [8101] 0 0 10 3 0 0 0 4 6 7 0 1 0 0 0 0 0 0
#> [8119] 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 2 0 2
#> [8137] 0 0 0 0 2 0 0 0 0 0 2 2 0 1 3 4 0 8
#> [8155] 0 0 1 0 0 2 0 1 1 0 0 0 4 0 0 0 2 0
#> [8173] 0 0 0 0 0 0 3 0 0 1 0 0 0 0 0 1 0 0
#> [8191] 0 0 0 1 0 0 0 0 3 0 3 0 0 0 0 4 0 0
#> [8209] 0 0 0 0 0 0 0 0 0 2 0 1 3 0 1 0 0 0
#> [8227] 0 0 0 2 0 0 0 0 0 4 0 0 0 0 1 0 1 0
#> [8245] 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0
#> [8263] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2
#> [8281] 0 0 0 0 0 0 2 0 0 0 0 0 0 7 0 0 0 4
#> [8299] 5 0 0 1 0 0 0 0 1 1 0 0 2 0 2 2 0 1
#> [8317] 0 1 0 0 10 1 0 0 0 5 0 0 0 0 0 0 0 0
#> [8335] 0 2 0 0 2 0 1 0 0 0 24 15 0 0 2 31 0 0
#> [8353] 0 0 0 0 0 0 1 0 1 7 0 0 0 1 0 0 0 0
#> [8371] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8389] 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0
#> [8407] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8425] 0 4 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0
#> [8443] 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [8461] 1 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8479] 1 0 0 0 0 0 0 0 0 2 0 1 0 0 0 0 0 0
#> [8497] 0 1 1 1 1 0 0 0 0 0 0 0 0 0 1 0 2 0
#> [8515] 0 0 0 0 0 0 2 6 0 0 2 0 0 0 0 0 0 0
#> [8533] 0 0 0 0 0 0 6 0 0 3 0 1 1 0 0 0 0 0
#> [8551] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
#> [8569] 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8587] 1 0 0 0 0 3 0 0 1 0 0 0 0 0 2 0 0 1
#> [8605] 0 0 0 0 0 3 0 0 0 2 0 0 9 0 1 6 0 4
#> [8623] 0 0 0 0 358 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8641] 0 0 3 0 0 0 0 2 0 1 0 0 0 0 0 0 0 0
#> [8659] 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [8677] 0 0 0 0 0 0 0 0 0 1 0 0 0 5 0 3 0 0
#> [8695] 7 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0
#> [8713] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3
#> [8731] 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8749] 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
#> [8767] 3 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 0 1
#> [8785] 0 0 0 2 1 0 1 0 14 0 2 0 0 7 0 0 0 0
#> [8803] 0 0 1 0 1 0 17 0 0 0 0 0 0 4 0 3 1 0
#> [8821] 2 0 8 0 0 0 0 6 1 0 0 14 0 0 0 0 0 0
#> [8839] 0 0 1 0 0 0 1 11 0 2 3 0 0 0 0 3 0 0
#> [8857] 0 0 0 0 0 2 1 60 0 0 0 0 0 0 0 0 0 0
#> [8875] 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [8893] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [8911] 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
#> [8929] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
#> [8947] 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
#> [8965] 2 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [8983] 0 0 0 0 0 0 0 12 0 0 0 0 0 0 1 0 0 0
#> [9001] 1 0 0 0 0 0 0 0 2 0 0 0 5 0 0 0 0 0
#> [9019] 0 0 0 0 0 0 0 3 0 0 0 0 3 0 0 0 0 0
#> [9037] 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 2
#> [9055] 0 0 0 2 1 0 0 0 0 0 0 1 0 0 0 0 0 0
#> [9073] 0 0 0 0 0 0 0 0 3 1 0 0 0 0 0 0 1 0
#> [9091] 0 0 0 0 0 0 0 0 0 0 7 0 0 71 0 0 7 0
#> [9109] 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0
#> [9127] 0 3 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0
#> [9145] 0 2 1 0 0 0 2 0 0 1 1 0 0 0 0 0 0 0
#> [9163] 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0
#> [9181] 0 1 0 0 1 25 0 0 0 0 0 0 0 0 0 1 0 0
#> [9199] 0 0 0 0 2 0 0 0 0 1 2 1 0 0 0 0 0 0
#> [9217] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2
#> [9235] 0 0 1 0 1 0 1 0 2 3 0 0 0 0 0 0 0 0
#> [9253] 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0
#> [9271] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 4 0
#> [9289] 0 0 0 2 0 0 0 3 0 67 1 4 0 0 0 19 0 0
#> [9307] 0 3 0 0 0 7 0 0 0 1 0 2 0 0 0 6 0 0
#> [9325] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 6 0 2 0
#> [9343] 0 0 0 0 0 3 0 0 4 0 5 14 10 3 1 0 0 1
#> [9361] 0 1 1 2 0 0 0 0 2 13 1 0 0 0 0 1 0 0
#> [9379] 0 0 1 0 0 0 0 4 0 0 2 0 0 17 0 0 0 2
#> [9397] 1 0 0 0 5 0 0 0 2 0 0 0 0 2 8 0 4 7
#> [9415] 0 3 0 0 2 2 1 0 0 0 0 1 0 0 23 0 0 3
#> [9433] 6 0 3 138 5 0 3 1 2 10 0 3 0 4 1 1 0 1
#> [9451] 5 6 4 0 4 13 1 10 0 0 0 5 65 22 0 3 0 0
#> [9469] 3 5 31 2 0 1 1 2 2 3 0 0 6 0 0 22 0 0
#> [9487] 32 11 3 1 6 2 0 0 72 2 0 46 10 29 226 1 45 0
#> [9505] 0 35 7 2 5 10 127 4 19 0 0 35 10 4 2 0 2 0
#> [9523] 0 4 1 1 0 29 8 1 2 1 2 2 0 1 1 0 6 0
#> [9541] 0 157 7 0 2 3 20 4 0 1 8 96 1 13 2 0 0 0
#> [9559] 0 0 25 0 6 7 9 0 0 5 1 7 3 9 2 0 0 1
#> [9577] 17 5 1 29 2 4 18 59 0 4 1 0 0 0 0 0 2 0
#> [9595] 0 0 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0
#> [9613] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
#> [9631] 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0
#> [9649] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 3 0
#> [9667] 16 0 0 0 0 0 0 0 6 0 0 1 0 0 0 0 3 0
#> [9685] 0 0 0 1 0 0 0 0 0 0 2 0 0 0 0 0 0 0
#> [9703] 0 0 18 0 0 0 23 0 2 0 0 0 0 0 0 0 0 3
#> [9721] 2 0 0 0 1 1 0 0 0 0 0 0 4 0 0 9 0 0
#> [9739] 0 0 0 0 1 0 0 0 0 0 2 0 0 2 0 0 1 0
#> [9757] 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
#> [9775] 0 0 0 4 1 0 0 0 0 0 12 0 0 0 0 0 0 0
#> [9793] 2 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 1 0
#> [9811] 3 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0
#> [9829] 0 0 3 0 0 0 0 4 1 0 0 4 0 0 0 0 0 2
#> [9847] 13 0 0 25 0 0 0 0 1 1 2 0 0 0 0 0 0 0
#> [9865] 17 0 0 0 0 0 0 0 0 0 0 0 2 0 1 0 0 0
#> [9883] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1
#> [9901] 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0
#> [9919] 0 0 2 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0
#> [9937] 0 0 0 0 0 0 2 0 0 0 0 0 0 0 1 3 0 0
#> [9955] 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0
#> [9973] 1 0 0 0
# \donttest{
# example 2: longitudinal network
verbCoop_longit <- netify(
icews,
actor1 = "i", actor2 = "j", time = "year",
symmetric = FALSE,
weight = "verbCoop",
dyad_vars = dvars,
dyad_vars_symmetric = rep(FALSE, length(dvars)),
nodal_vars = nvars
)
# convert to list of igraph objects
ig_list <- netify_to_igraph(verbCoop_longit)
# examine structure
length(ig_list) # number of time periods
#> [1] 13
names(ig_list) # time period labels
#> [1] "2002" "2003" "2004" "2005" "2006" "2007" "2008" "2009" "2010" "2011"
#> [11] "2012" "2013" "2014"
# access specific time period
ig_2002 <- ig_list[["2002"]]
ig_2002
#> IGRAPH 4745ca8 DNW- 152 8692 --
#> + attr: name (v/c), i_polity2 (v/n), i_log_gdp (v/n), i_log_pop (v/n),
#> | weight (e/n), verbCoop (e/n), matlCoop (e/n), verbConf (e/n),
#> | matlConf (e/n)
#> + edges from 4745ca8 (vertex names):
#> [1] Afghanistan->Albania Afghanistan->Armenia Afghanistan->Australia
#> [4] Afghanistan->Austria Afghanistan->Azerbaijan Afghanistan->Bahrain
#> [7] Afghanistan->Bangladesh Afghanistan->Belgium Afghanistan->Brazil
#> [10] Afghanistan->Bulgaria Afghanistan->Cambodia Afghanistan->Canada
#> [13] Afghanistan->Chile Afghanistan->China Afghanistan->Cuba
#> [16] Afghanistan->Denmark Afghanistan->Egypt Afghanistan->Estonia
#> + ... omitted several edges
# }
# example 3: convert without attributes
ig_structure_only <- netify_to_igraph(
verbCoop_net,
add_nodal_attribs = FALSE,
add_dyad_attribs = FALSE
)
# only network structure, no attributes
igraph::vertex_attr_names(ig_structure_only) # only "name"
#> [1] "name"
igraph::edge_attr_names(ig_structure_only) # only "weight" (if present)
#> [1] "weight" "verbCoop"