ntwk-info-diffusion.nlogo

;; *********************************************************
;; Patrik Wikstrom
;; QUT 2013-2015
;;
;; Simple network generation model + information diffusion
;; *********************************************************


turtles-own [ friends infected time-since-infection recovered ]

globals [ randomlinks friendlinks max-friends seed-friends seed-tick end-tick fad-duration max-fad seed-count]


to reset-network
  clear-all
  set-default-shape turtles "circle"
  crt connect [
    setxy random-xcor - 2 random-ycor - 2
    set infected 0
    set recovered 0
    set time-since-infection 0
  ]
  while [(2 * count links) < (count turtles * (count turtles - 1)) ] [
    create-a-random-link   
    layout-spring (turtles with [any? link-neighbors]) links 0.4 6 1
  ]
  set friendlinks 1
  set randomlinks 1
  set max-friends connect + 1
  set seed-count 0
  reset-ticks
end


to create-a-random-link
  let turtle-a one-of turtles
  let turtle-b one-of turtles
  ask turtle-a [
    ifelse link-neighbor? turtle-b or turtle-a = turtle-b [create-a-random-link]
    [create-link-with turtle-b]
  ]
end


to create-new-node [m]
  let next-node one-of turtles
  let friend-nodes [link-neighbors] of next-node
  let nnn 0
  crt 1 [
    setxy random-xcor random-ycor
    set infected 0
    create-link-with next-node
    while [count link-neighbors < m] [
      ifelse m < count friend-nodes [set nnn m][set nnn count friend-nodes]
 
      ifelse random 100 < randomness
      [
        set next-node one-of turtles ;; formation strategy #1
        set randomlinks randomlinks + 1
      ]
      [
        set next-node one-of (max-n-of nnn friend-nodes [count link-neighbors]) ;; formation strategy #2
        ;;set next-node max-one-of ([both-ends] of one-of links) [friends] ;; formation strategy #3
        set friendlinks friendlinks + 1
      ]

      if not (link-neighbor? next-node or self = next-node) [create-link-with next-node]
      set friend-nodes [link-neighbors] of next-node
    ]
  ]
end


to add-node
  create-new-node connect
  
  ask turtles [ set friends count link-neighbors ]
  set max-friends max [friends] of turtles
  layout-spring (turtles with [any? link-neighbors]) links 0.4 6 1
  tick
  if ticks > 10000 [stop]
end


to build-network
  while [(count turtles) < network-size] [
    add-node
  ]
end


to setup-diffusion
  reset-ticks
  ask turtles [
    set color brown
    set infected 0
    set time-since-infection 0
    set recovered 0
  ]
  ask one-of turtles [
    set infected 1
    set color red
    set seed-friends count link-neighbors
    set seed-tick ticks
  ]
  set max-fad 0
  set fad-duration 0
  set-current-plot "diffusion"
  set seed-count seed-count + 1
  clear-plot
end


to diffusion
  if seed-count > max-seeds [ stop ]
  ask turtles [
    if infected = 1 and recovered = 0 [
        set time-since-infection (time-since-infection + 1)
        ask link-neighbors [
          if (random 100 < contagion and recovered = 0) [
            set infected 1
            set color red
          ]
        ]
    ] 
    if time-since-infection > longevity [
      set infected 0
      if immune [
        set recovered 1
      ]
      set time-since-infection 0
      set color brown
    ]
    if max-fad < count turtles with [infected = 1] [
      set max-fad count turtles with [infected = 1]
    ]

  ]
  tick
  
  ;; wrap up after one diffusion experiment is over
  if (ticks > seed-tick and count turtles with [infected = 1] = 0) or (ticks > 100) [
    set fad-duration ticks - seed-tick
    if file-exists? "contagion.csv" = False [
      file-open "contagion.csv"
      file-print "fad-duration,num-turtles,connect,randomness,max-fad,end-fad,contagion,longevity,immune,seed-friends,avg-degree"
      file-close
    ]  
    file-open "contagion.csv" 
    file-print (word fad-duration "," count turtles "," connect "," randomness "," max-fad 
      "," count turtles with [infected = 1] "," contagion "," longevity "," immune "," seed-friends 
      "," (sum [count link-neighbors] of turtles / count turtles))
    file-close
    
    if stop-after-each [ stop ]
    set seed-tick 1000000 ; just set it to a large number
    setup-diffusion

  ]
end
@#$#@#$#@
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avg degree
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MONITOR
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% friend-based links
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INPUTBOX
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network-size
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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 5.2-RC3
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="experiment" repetitions="2" runMetricsEveryStep="false">
    <setup>reset-network
build-network
setup-diffusion</setup>
    <go>diffusion</go>
    <exitCondition>seed-count &gt; max-seeds</exitCondition>
    <metric>count turtles</metric>
    <enumeratedValueSet variable="network-size">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="longevity">
      <value value="6"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="immune">
      <value value="false"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="connect">
      <value value="5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="randomness">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="max-seeds">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="contagion">
      <value value="6"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
@#$#@#$#@
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