inst/vosondash/server/networkMetricsServer.R

In Manmit1Singh/visnetwork: User Interface for Collecting and Analysing Social Networks

#' VOSON Dashboard networkMetricsServer
#'
#' Network metrics and line plots.
#'

#### values ---------------------------------------------------------------------------------------------------------- #
#### events ---------------------------------------------------------------------------------------------------------- #
#### output ---------------------------------------------------------------------------------------------------------- #

output$network_metrics_details_output <- renderText({ networkMetricsDetailsOutput() })
output$componentDistPlot <- renderPlot({ componentDistPlotData() })
output$degreeDistPlot <- renderPlot({ degreeDistPlotData() })
output$indegreeDistPlot <- renderPlot({ indegreeDistPlotData() })
output$outdegreeDistPlot <- renderPlot({ outdegreeDistPlotData() })

#### reactives ------------------------------------------------------------------------------------------------------- #

componentDistPlotData <- reactive({
  g <- graphFilters()
  
  if (is.null(g)) { return(VOSONDash::emptyPlotMessage("No graph data.")) }
  
  cc <- components(g, mode = input$graph_component_type_select)
  plot(table(cc$csize), type = "b", xlab = paste0("Size of component (", input$graph_component_type_select, ")"), 
       ylab = "N")
}) 

degreeDistPlotData <- reactive({
  g <- graphFilters()
  
  if (is.null(g)) { return(VOSONDash::emptyPlotMessage("No graph data.")) }
  
  if (is.directed(g)) {
    VOSONDash::emptyPlotMessage("Not defined for network.")
  } else {
    plot(table(degree(g)), type = "b", xlab = "Degree", ylab = "N")
  }
})

indegreeDistPlotData <- reactive({
  g <- graphFilters()
  
  if (is.null(g)) { return(VOSONDash::emptyPlotMessage("No graph data.")) }
  
  if (is.directed(g)){
    plot(table(degree(g, mode="in")), type = "b", xlab = "Indegree", ylab = "N")
  } else {
    VOSONDash::emptyPlotMessage("Not defined for undirected network.")
  }
}) 

outdegreeDistPlotData <- reactive({
  g <- graphFilters()
  
  if (is.null(g)) { return(VOSONDash::emptyPlotMessage("No graph data.")) }
  
  if (is.directed(g)){
    plot(table(degree(g, mode="out")), type="b", xlab="Outdegree", ylab="N")
  } else {
    VOSONDash::emptyPlotMessage("Not defined for undirected network.")
  }
})

networkMetricsDetailsOutput <- reactive({
  g <- graphFilters()
  
  output <- c()
  
  if (!is.null(g)) {
    metrics <- getNetworkMetrics(g, component_type = input$graph_component_type_select)
    
    output <- append(output, c(
      paste("Number of nodes (network size):", metrics$nodes),
      paste("Number of edges:", metrics$edges),
      paste("Edges:", ifelse(metrics$directed, "directed", "undirected")),
      paste("Number of components:", metrics$components),
      paste("Component mode:", metrics$components_type),
      paste("Number of isolates:", metrics$isolates),
      paste("Density:", sprintf("%.3f", metrics$density)),
      paste("Average geodesic distance:", sprintf("%.3f", metrics$ave_geodesic_dist)), "",
      paste("(Global) clustering coefficient:", sprintf("%.3f", metrics$global_clust_coeff)),
      "  Proportion of connected triples that close to form triangles",
      paste("Reciprocity - 1:", sprintf("%.3f", metrics$reciprocity_def)),
      "  Ratio of number of dyads with reciprocated (mutual) edges to number of dyads with single edge",
      paste("Reciprocity - 2:", sprintf("%.3f", metrics$reciprocity_ratio)),
      "  Ratio of total number of reciprocated edges to total number of edges", ""
    ))
    
    if (metrics$directed){
      output <- append(output, c(
        paste("Indegree centralization:", sprintf("%.3f", metrics$indegree)),
        paste("Outdegree centralization:", sprintf("%.3f", metrics$outdegree))
      ))
    }else{
      output <- append(output, paste("Degree centralization:", sprintf("%.3f", metrics$degree)))
    }
    
    output <- append(output, c(
      paste("Betweenness centralization:", sprintf("%.3f", metrics$betweenness)),
      paste("Closeness centralization:", sprintf("%.3f", metrics$closeness))
    ))
  } else {
    output <- append(output, "No graph data.")
  }
  
  paste0(output, collapse = '\n')
})