netGSS :: Emergency management simulation :: R-statistics :: (May 2013)
Univariate (in Norwegian) | ANOVA (role - in Norw.) | ANOVA (event - in Norw) | Social Network Analysis (SNA) | 2011 | 2012 | 2013 |
Social Network Analysis (all messages): requesting info | giving info
Network (messages across the border): giving info
The R Project for Statistical Computing (http://www.r-project.org/)
Social network - requesting information
S-112 (Swedish 911), the fire department in Åre (S-fireA) and police on the Swedish side of the border, as well as fire, police and ambulances in Nord-Trøndelag play central roles here.
The mayor of Lierne municipality (N-Li-exec), the county of Nord-Trøndelag and ambulances of Sør-Trøndelag (N-ambulST) are also central acrots on the Norwegian side of the border.
Percentage of messages sent across the border: 20,3% (13 of 64)
Arrows point towards the organization requesting information.
Click on the graph for a larger version of the graph. The graphs display the communication between the various organizations.
Number of messages: Sweden Norway total internally 16 35 51 across border 7 6 13 total 23 41 64
Results - SNA - Social Network Analysis:[1] "S-el_power" "S-county" "S-police" "S-fireA" "S-fireO"
[6] "S-112" "N-fireNT" "N-fireST" "N-ambulNT" "N-ambulST"
[11] "N-countyNT" "N-countyST" "N-Li-fire" "N-Li-exec" "N-Merak-fire"
[16] "N-Merak-exec" "N-el_power" "N-policeNT" "N-policeST" "N-Roros-fire"
[21] "N-Tydal-fire"
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[1,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[2,] "0" "0" "0" "1" "0" "1" "0" "0" "0" "0" "0" "0" "0"
[3,] "0" "0" "0" "4" "0" "1" "0" "0" "0" "0" "0" "0" "0"
[4,] "1" "0" "1" "0" "0" "1" "1" "0" "0" "0" "0" "0" "0"
[5,] "0" "1" "0" "2" "0" "1" "0" "0" "0" "0" "0" "0" "0"
[6,] "0" "0" "1" "0" "1" "0" "0" "0" "0" "1" "0" "0" "0"
[7,] "0" "0" "0" "0" "0" "0" "0" "0" "3" "0" "0" "0" "0"
[8,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "1" "0" "0" "0"
[9,] "0" "0" "0" "0" "0" "1" "2" "0" "0" "1" "0" "0" "0"
[10,] "0" "0" "0" "0" "0" "2" "0" "2" "2" "0" "0" "0" "0"
[11,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[12,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[13,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[14,] "0" "0" "0" "1" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[15,] "0" "0" "0" "0" "0" "0" "1" "0" "0" "0" "0" "0" "0"
[16,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[17,] "1" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[18,] "0" "0" "0" "0" "0" "1" "0" "0" "1" "0" "0" "0" "0"
[19,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[20,] "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0" "0"
[21,] "0" "0" "0" "0" "0" "0" "0" "1" "0" "0" "0" "0" "0"
[,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21]
[1,] "0" "0" "0" "0" "0" "0" "0" "0"
[2,] "0" "0" "0" "0" "0" "0" "0" "0"
[3,] "0" "0" "0" "0" "4" "0" "0" "0"
[4,] "0" "0" "0" "0" "0" "0" "0" "0"
[5,] "0" "0" "0" "0" "0" "0" "1" "0"
[6,] "0" "0" "0" "0" "0" "0" "0" "0"
[7,] "0" "3" "0" "0" "2" "0" "0" "0"
[8,] "0" "0" "0" "0" "0" "2" "0" "3"
[9,] "0" "0" "0" "0" "2" "0" "0" "0"
[10,] "0" "0" "0" "0" "0" "2" "0" "0"
[11,] "1" "0" "1" "2" "0" "0" "0" "0"
[12,] "0" "0" "0" "0" "0" "0" "0" "0"
[13,] "0" "0" "0" "0" "0" "0" "0" "0"
[14,] "0" "0" "0" "1" "1" "0" "0" "0"
[15,] "0" "0" "0" "0" "0" "0" "0" "0"
[16,] "0" "0" "0" "0" "1" "0" "0" "0"
[17,] "0" "0" "0" "0" "0" "0" "0" "0"
[18,] "0" "0" "0" "0" "0" "0" "0" "0"
[19,] "0" "0" "0" "0" "0" "0" "0" "0"
[20,] "0" "0" "0" "0" "0" "0" "0" "0"
[21,] "0" "0" "0" "0" "0" "0" "0" "0"
Network attributes:
vertices = 21
directed = TRUE
hyper = FALSE
loops = TRUE
multiple = FALSE
bipartite = FALSE
total edges = 42
missing edges = 0
non-missing edges = 42
density = 0.0952381
Vertex attributes:
vertex.names:
character valued attribute
21 valid vertex names
No edge attributes
Network edgelist matrix:
[,1] [,2]
[1,] 4 1
[2,] 17 1
[3,] 5 2
[4,] 4 3
[5,] 6 3
[6,] 2 4
[7,] 3 4
[8,] 5 4
[9,] 14 4
[10,] 6 5
[11,] 2 6
[12,] 3 6
[13,] 4 6
[14,] 5 6
[15,] 9 6
[16,] 10 6
[17,] 18 6
[18,] 4 7
[19,] 9 7
[20,] 15 7
[21,] 10 8
[22,] 21 8
[23,] 7 9
[24,] 10 9
[25,] 18 9
[26,] 6 10
[27,] 8 10
[28,] 9 10
[29,] 11 14
[30,] 7 15
[31,] 11 16
[32,] 11 17
[33,] 14 17
[34,] 3 18
[35,] 7 18
[36,] 9 18
[37,] 14 18
[38,] 16 18
[39,] 8 19
[40,] 10 19
[41,] 5 20
[42,] 8 21
+ vertex.cex=2, usearrows=TRUE,
+ vertex.sides=3,
+ ## vertex.col="land",
+ ## vertex.col=2+(network.vertex.names(net)=="polis"),
+ boxed.labels=TRUE)
NULL
Training session / simulation 2013: Number of messages sent - requesting information: (matrix of 21 rows and 21 columns: row 1 and col 1 is S-el_power; row 2 col 2 is S-county etc.)
Jamtk Lansst Polis RaddnA RaddnO SOS BrannNT BrannST AmkNT AmkST FylkeNT FylkeST LierneB LierneL MerakBr MerakLd NTENett PolitiN PolitiS RorosBr TydalBr 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 1 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 3 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 2 0 3 0 0 0 0 0 1 2 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 2 0 2 2 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
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