netGSS :: GSS 2 øving 01.06.17 - Steinkjer / Stömsund / Östersund :: foreløpig resultat -

Antall meldinger | Nettverksanalyse (SNA)         

Nettverksanalyse (SNA): alle | svenske deltakere | norske deltakere | over grensen

Sosialt nettverk: alle deltakere Pilene peker mot den som mottar henvendelse om informasjon. Klikk på grafen for en større versjon. Grafene viser kommunikasjon mellom de ulike organisasjonene.
Resultat - SNA: analyse av sosiale nettverk: Network attributes: vertices = 11 directed = TRUE hyper = FALSE loops = TRUE multiple = FALSE bipartite = FALSE total edges = 47 missing edges = 0 non-missing edges = 47 density = 0.3884298 Vertex attributes: vertex.names: character valued attribute 11 valid vertex names No edge attributes Network adjacency matrix: Lansstyrelse Polis Stromsund Brann Politi AMK Fylkesmann Lierne Lansstyrelse 0 1 1 0 0 1 1 1 Polis 1 0 0 0 1 0 0 0 Stromsund 1 1 0 0 1 0 0 1 Brann 0 0 0 0 1 1 0 1 Politi 0 1 1 1 0 1 1 1 AMK 1 0 0 1 1 0 0 0 Fylkesmann 1 0 0 0 1 0 0 1 Lierne 1 0 1 1 1 1 1 0 NTE 0 0 0 0 0 0 1 1 Rode Kors 0 0 0 0 1 1 0 1 Sivilforsvar 0 0 0 0 1 0 1 1 NTE Rode Kors Sivilforsvar Lansstyrelse 0 0 0 Polis 0 0 0 Stromsund 0 0 0 Brann 0 0 0 Politi 0 1 1 AMK 0 0 0 Fylkesmann 1 0 1 Lierne 1 1 1 NTE 0 0 0 Rode Kors 0 0 0 Sivilforsvar 0 0 0 + vertex.cex=2, usearrows=TRUE, + vertex.sides=3, + ## vertex.color=adjustcolor("transparent"), + ## vertex.label.color=adjustcolor("black", .5), + ## vertex.col="land", + ## vertex.col=2+(network.vertex.names(net)=="polis"), + boxed.labels=TRUE) NULL Øving 2017: Antall meldinger sendt: (matrise med 11 rader og 11 kolonner: kolonne 1 er Lanst (Lansstyrelsen) - samme som rad 1 etc) Lanst Polis Strom Brann Politi AMK Fylke Liern NTE RodeK SivFo 0 4 19 0 0 2 4 2 0 0 0 2 0 0 0 5 0 0 0 0 0 0 23 1 0 0 4 0 0 6 0 0 0 0 0 0 0 8 2 0 7 0 0 0 0 5 2 4 0 1 2 8 0 5 5 2 0 0 2 1 0 0 0 0 0 0 5 0 0 0 4 0 0 13 7 0 2 2 0 5 6 4 3 15 0 3 9 2 0 0 0 0 0 0 6 3 0 0 0 0 0 0 0 8 1 0 15 0 0 0 0 0 0 0 5 0 2 7 0 0 0

The R Project for Statistical Computing (http://www.r-project.org/)
Jocker, M. L. Executing R in PhP. URL https://www.stanford.edu/~mjockers/cgi-bin/drupal/node/25
Personality-project.org: Using R for psychological research: A simple quide to an elegant package.
URL http://personality-project.org/r/
Csardi, G. Practical Statistical Network Analysis: Community Structure in Networks. (slide 29) URL http://statmath.wu.ac.at/research/friday/resources_WS0708_SS08/igraph.pdf
Butts, CT (2008). network: A Package for Managing Relational Data in R. Journal of Statistical Software, 24(2). http://www.jstatsoft.org/v24/i02/paper
Goodreau SM, Handcock MS, Hunter DR, Butts CT, Morris M (2008). A statnet Tutorial. Journal of Statistical Software, 24(8). http://www.jstatsoft.org/v24/i01/paper
McGlohon, Mary. Statistical Properties of Social Networks. http://www.springer.com/cda/content/document/cda_downloaddocument/9781441984616-c2.pdf