# Return a network plot
g2g_data %>% network_g2g()
# Return a network plot - Meeting hours and 5% threshold
g2g_data %>%
network_g2g(time_investor = "TimeInvestors_Organization",
collaborator = "Collaborators_Organization",
metric = "Meeting_hours",
exc_threshold = 0.05)
# Return a network plot - custom-specific colours
# Get labels of orgs and assign random colours
org_str <- unique(g2g_data$TimeInvestors_Organization)
col_str <-
sample(
x = c("red", "green", "blue"),
size = length(org_str),
replace = TRUE
)
# Create and supply a named vector to `node_colour`
names(col_str) <- org_str
g2g_data %>%
network_g2g(node_colour = col_str)
# Return a network plot with circle layout
# Vary node colours and add org sizes
org_tb <- hrvar_count(
sq_data,
hrvar = "Organization",
return = "table"
)
g2g_data %>%
network_g2g(algorithm = "circle",
node_colour = "vary",
org_count = org_tb)
# Return an interaction matrix
# Minimum arguments specified
g2g_data %>%
network_g2g(return = "table")
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