CreateNetwork.nlogo

extensions [nw]

turtles-own
[
  ;; this is used to mark turtles we have already visited
  explored?
]

globals
[
  component-size          ;; number of turtles explored so far in the current component
  giant-component-size    ;; number of turtles in the giant component
  giant-start-node        ;; node from where we started exploring the giant component
  asp                     ;; average shortest path
]

breed [netnode netnodes]
breed [socialnode socialnodes]
breed [semanticnode semanticnodes]
undirected-link-breed [netlink netlinks]
directed-link-breed [iftlink iftlinks]
directed-link-breed [sitlink sitlinks]

to setup
  clear-all
  reset-ticks
  ;; create_netnodes
end
to create_network
  
  ;; create_netnodes
  if (NetworkType = "Scale-free") and Network_Information = "Social"[
    nw:generate-small-world socialnode netlink rows columns Clustering_Exponent toroidal show_breed]
  if (NetworkType = "Scale-free") and Network_Information = "Semantic"[
    nw:generate-small-world semanticnode netlink rows columns Clustering_Exponent toroidal show_breed]
  if (NetworkType = "Erdos-Renyi") and (Network_Information = "Social") [
    nw:generate-random socialnode netlink Num_of_Nodes ConnectionProbability show_breed]
  if (NetworkType = "Erdos-Renyi") and (Network_Information = "Semantic") [
    nw:generate-random semanticnode netlink Num_of_Nodes ConnectionProbability show_breed]
  if (NetworkType = "Preferential") and (Network_Information = "Social") [
    nw:generate-preferential-attachment socialnode netlink Num_of_Nodes show_breed]
  if (NetworkType = "Preferential") and (Network_Information = "Semantic") [
    nw:generate-preferential-attachment semanticnode netlink Num_of_Nodes show_breed]
  if (NetworkType = "Ring") and (Network_Information = "Social") [
    nw:generate-ring socialnode netlink Num_of_Nodes show_breed]
  if (NetworkType = "Ring") and (Network_Information = "Semantic") [
    nw:generate-ring semanticnode netlink Num_of_Nodes show_breed]
  if (NetworkType = "2d-Lattice") and (Network_Information = "Social") [
    nw:generate-lattice-2d socialnode netlink rows columns toroidal show_breed]
  if (NetworkType = "2d-Lattice") and (Network_Information = "Semantic") [
    nw:generate-lattice-2d semanticnode netlink rows columns toroidal show_breed]
  if (NetworkType = "Star") and (Network_Information = "Social")[
    nw:generate-star socialnode netlink Num_of_Nodes show_breed]
  if (NetworkType = "Star") and (Network_Information = "Semantic")[
    nw:generate-star semanticnode netlink Num_of_Nodes show_breed]
  if NetworkType = "Random-Encounter"[
    random-encounter
    ask turtles with [breed = socialnode][set shape "person"]
    ask turtles with [breed = semanticnode][set shape "circle"]
    ]
  if NetworkType = "Growth" [
    growth
    ask turtles with [breed = socialnode][set shape "person"]
    ask turtles with [breed = semanticnode][set shape "circle"]
  ]
end

to show_breed
  ask turtles [if (breed = socialnode) [set shape "person"]]
  ask turtles [if (breed = semanticnode) [set shape "circle"]]
end

to random-encounter
  ;;setup
  if Num_of_Neighbors >= Num_of_Nodes[
    set Num_of_Neighbors Num_of_Nodes - 1]
  
  let thiswho 0
  
  if not any? turtles [create_netnodes]
  ask links [
    die
  ]
  
  ask turtles [
    ;;set shape "circle"
    ;;set size 5
    set xcor random-xcor
    set ycor random-ycor
    set color (gray + 2)
  ]
  
  let links-wanted Num_of_Nodes * num_of_neighbors / 2
  
  while [(count links) < links-wanted] [
    ask turtles [
      rt random 360
      forward 1
      ask other turtles-on patch-here [
        if not link-neighbor? myself [
          create-link-with myself
        ]
      ]
    ]
  ]
  ;;find-all-components
  ;;color-giant-component
  set-current-plot "degree distribution"
  set-plot-x-range 0 (max [count link-neighbors] of turtles)
;  set asp network:mean-link-path-length (turtles with [color = red]) links
  
end

to growth 
  ca
  reset-ticks
  
  if Network_Information = "Social"[
    create-socialnode (Num_of_Neighbors + 1)]
  if Network_Information = "Semantic"[
    create-semanticnode (Num_of_Neighbors + 1)]
  
;;  crt (Num_of_Neighbors + 1) [
;;    set shape "circle"
;;    ;;set size 5
;;  ]
  
  ask turtles [
    ask other turtles with [not link-neighbor? myself] [
      create-link-with myself
    ]
    repeat 3 [update_layout]
  ]
  
  repeat (Num_of_Nodes - Num_of_Neighbors - 1) [
    if Network_Information = "Social"[
    create-socialnode 1 [
          set shape "person"
          ;;set size 5
          set xcor random-xcor
          set ycor random-ycor
          repeat 50 [update_layout]
    ]]
    if Network_Information = "Semantic"[
    create-semanticnode 1 [
          set shape "circle"
          ;;set size 5
          set xcor random-xcor
          set ycor random-ycor
          repeat 50 [update_layout]
    ]]
    ask n-of (floor (Num_of_Neighbors / 2)) turtles [
        create-link-with one-of other turtles with [not link-neighbor? self]
    ]
    if (random-float 1 < (Num_of_Neighbors / 2 - floor (Num_of_Neighbors / 2))) [
        ask one-of turtles [
          create-link-with one-of other turtles with [not link-neighbor? self]
        ]
    ]
  ]
  
  repeat 500 [update_layout]
  ;;find-all-components
  ;;color-giant-component
  set-current-plot "degree distribution"
  set-plot-x-range 0 (max [count link-neighbors] of turtles)
  tick
;  set asp network:mean-link-path-length (turtles with [color = red]) links
end

to make-turtles
  crt Num_of_Nodes
  ask turtles [set breed "netnode"]
  layout-circle turtles max-pxcor - 1
end

to update_plot
  histogram [count link-neighbors] of turtles
  ;;set-current-plot "Degree Distribution"
  ;;set-plot-x-range 0 (max [count link-neighbors] of turtles)
  ;; tick
end

to create_netnodes
  ifelse Network_Information = "Social"[
  create-socialnode Num_of_Nodes][
  create-semanticnode Num_of_Nodes]
end

to clear
  clear-all
end

to expand
  ask turtles [forward 2]
end

to update_layout
  layout-spring (turtles with [any? link-neighbors]) links spring_constant spring_length repulsion_strength
end

;; to find all the connected components in the network, their sizes and starting turtles
to find-all-components
  set giant-component-size 0
  ask turtles [ set explored? false ]
  ;; keep exploring till all turtles get explored
  loop
  [
    ;; pick a node that has not yet been explored
    let start one-of turtles with [ not explored? ]
    if start = nobody [ stop ]
    ;; reset the number of turtles found to 0
    ;; this variable is updated each time we explore an
    ;; unexplored node.
    set component-size 0
    ;; at this stage, we recolor everything to light gray
    ask start [ explore (gray + 2) ]
    ;; the explore procedure updates the component-size variable.
    ;; so check, have we found a new giant component?
    if component-size > giant-component-size
    [
      set giant-component-size component-size
      set giant-start-node start
    ]
  ]
end

;; Finds all turtles reachable from this node (and recolors them)
to explore [new-color]  ;; node procedure
  if explored? [ stop ]
  set explored? true
  set component-size component-size + 1
  ;; color the node
  set color new-color
  ask link-neighbors [ explore new-color ]
end

;; color the giant component red
to color-giant-component
  ask turtles [ set explored? false ]
  ask giant-start-node [ explore red ]
  ask links [ set color [color] of end1 ]  ;; recolor all edges
end

to Calc_ASP
  find-all-components
  color-giant-component
  nw:set-snapshot (turtles with [color = red]) links
  set asp nw:mean-path-length
end
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TEXTBOX
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TEXTBOX
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TEXTBOX
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@#$#@#$#@
## WHAT IS IT?

(a general understanding of what the model is trying to show or explain)

## HOW IT WORKS

(what rules the agents use to create the overall behavior of the model)

## HOW TO USE IT

(how to use the model, including a description of each of the items in the Interface tab)

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## NETLOGO FEATURES

(interesting or unusual features of NetLogo that the model uses, particularly in the Code tab; or where workarounds were needed for missing features)

## RELATED MODELS

(models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

(a reference to the model's URL on the web if it has one, as well as any other necessary credits, citations, and links)
@#$#@#$#@
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@#$#@#$#@
NetLogo 5.0.5
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@#$#@#$#@
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@#$#@#$#@
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