Nothing
Code
print(dn)
Output
# Temporal network (interval format, directed) | a cograph netobject
# 5 vertices | 4 edge spells | 4 distinct pairs
# observed from 1 to 5 step, binned every 1
from to start end duration weight
A B 1 2 1 1
B C 2 3 1 1
C D 3 4 1 1
D E 4 5 1 1
Code
print(centrality_series(dn, measure = "degree"))
Output
# Degree (node-level)
# 5 vertices | 4 time points, 1 per bin | time in step
time node measure value
1 A degree 1
1 B degree 1
1 C degree 0
1 D degree 0
1 E degree 0
2 A degree 0
2 B degree 1
2 C degree 1
2 D degree 0
2 E degree 0
3 A degree 0
3 B degree 0
# 8 more rows. summary() aggregates them; plot() draws them.
Code
print(paths(dn, from = "A"))
Output
# Time-respecting paths from 'A', from t = 1
# reaches 4 of 4 other vertices | time in step
node reachable arrival_time attained latency n_hops n_paths
A TRUE 1 TRUE 0 0 1
B TRUE 1 TRUE 0 1 1
C TRUE 2 TRUE 1 2 1
D TRUE 3 TRUE 2 3 1
E TRUE 4 TRUE 3 4 1
Code
print(summary(dn), row.names = FALSE)
Output
property value
format interval
directed yes
vertices 5
edge spells 4
distinct pairs 4
time unit step
observed from 1
observed to 5
span 4
bin width 1
time bins 4
mean snapshot density 0.05
temporal density not computed
sessions none
vertex attributes none
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