opinions.nlogo

globals
[
  sum-change                           ;; sum of changed opinions
]

turtles-own
[
  opinion
  stubborn?
]


;;;;;;;;;;;;;;;;;;;;;;;;
;;; Setup Procedures ;;;
;;;;;;;;;;;;;;;;;;;;;;;;

to setup
  clear-all
  make-turtles
  if network-type = "random-graph" [ random-graph ]
  if network-type = "spatial-graph" [ spatial-graph ]
  if network-type = "small-world-graph" [ small-world-graph ]
  if network-type = "prefferential-graph" [ prefferential-graph ]
  color-turtles
  make-stubborn
  reset-ticks
end

to make-turtles
  set-default-shape turtles "circle"
  create-turtles people [ set color white ]
end


;;; Coloring ;;;

to color-turtles
  ask turtles with [ color = white ] [

    ;; uniform distribution
    if opinion-distribution = "uniform" [ set opinion random-float 1 ]

    ;; normal distribution
    if opinion-distribution = "middle" [
      set opinion random-normal 0.5 0.2
    ]

    ;; inversed normal distribution
    if opinion-distribution = "extremes" [
      set opinion random-normal 0.5 0.2
      ifelse opinion = 0.5
      [ set opinion random 2 ]
      [ ifelse opinion < 0.5 [ set opinion opinion + 0.5 ] [ set opinion opinion - 0.5 ] ]
    ]

    set-color
    set stubborn? false
  ]
end

to set-color
  if opinion > 1 [ set opinion 1 ]
  if opinion < 0 [ set opinion 0 ]
  ifelse opinion < 0.5
  [ set color (list 255 (255 * opinion * 2) 0) ]
  [ set color (list (255 - 255 * (opinion - 0.5) * 2) 255 0) ]
end

to make-stubborn
  ask turtles [
    if random 100 < stubborn-prob [
      set stubborn? true
      set size 2
    ]
  ]
end


;;; Graphs ;;;

to random-graph
  layout-circle (sort turtles) max-pycor
  let num-edges people * average-node-degree / 2
  let i 0
  while [i < num-edges ]
  [
    ask one-of turtles
    [
      let choice one-of other turtles with [not link-neighbor? myself]
      if choice != nobody [ create-link-with choice ]
    ]
    set i i + 1
  ]
end

to spatial-graph
  ask turtles [ setxy (random-xcor * 0.95) (random-ycor * 0.95) ]
  let num-edges people * average-node-degree / 2
  while [count links < num-edges ]
  [
    ask one-of turtles
    [
      let choice (min-one-of (other turtles with [not link-neighbor? myself])
                   [distance myself])
      if choice != nobody [ create-link-with choice ]
    ]
  ]
  ;; make graph nice
  repeat 10
  [
    layout-spring turtles links 0.3 (world-width / (sqrt people)) 1
  ]
end

to small-world-graph
  lattice-graph

  ask links [
    ;; whether to rewire it or not?
    if random 100 < rewiring-probability
    [
      let node1 end1
      ;; if node1 is not connected to everybody
      if [ count link-neighbors ] of end1 < (people - 1)
      [
        ;; find a node distinct from node1 and not already a neighbor of node1 and rewire
        let node2 one-of turtles with [ (self != node1) and (not link-neighbor? node1) ]
        ask node1 [ create-link-with node2 [ set color cyan ] ]
        die
      ]
    ]
  ]
end

to lattice-graph
  layout-circle (sort turtles) max-pycor
  let i 0
  let j 1
  while [i < count turtles]
  [
    set j 1
    while [j <= average-node-degree / 2]
    [
      ask turtle i [ create-link-with turtle ((i + j) mod count turtles) ]
      set j j + 1
    ]
    set i i + 1
  ]
end

to prefferential-graph
  clear-all
  create-turtles 1 [set color white]
  create-turtles 1 [
    set color white
    create-link-with turtle 0
  ]
  while [count turtles < people] [
    let old-node [one-of both-ends] of one-of links
    create-turtles 1
    [
      set color white
      if old-node != nobody
      [ create-link-with old-node
        ;; position the new node near its partner
        move-to old-node
        fd 8
      ]
    ]
    ;; make graph nice
    repeat 3 [
      let factor sqrt count turtles
      layout-spring turtles links (1 / factor) (7 / factor) (1 / factor)
    ]
    let x-offset max [xcor] of turtles + min [xcor] of turtles
    let y-offset max [ycor] of turtles + min [ycor] of turtles
    ask turtles [ setxy (xcor - x-offset / 2) (ycor - y-offset / 2) ]
  ]
end


;;;;;;;;;;;;;;;;;;;;;;;
;;; Opinion forming ;;;
;;;;;;;;;;;;;;;;;;;;;;;

to go
  set sum-change 0
  if changing-opinion-strategy = "one neighbor" [ opinion-strategy-1 ]
  if changing-opinion-strategy = "all neighbors" [ opinion-strategy-2 ]
  tick
end

;; asking one neighbor at a time and leaning towards his opinion
to opinion-strategy-1
  ask turtles with [ stubborn? = false ]
  [
    let starting-opinion opinion

    let choice one-of other turtles with [link-neighbor? myself]
    let choice-opinion 0
    if choice != nobody and random 100 < changing-opinion-prob
    [
      ask choice [ set choice-opinion opinion ]
      let difference choice-opinion - opinion
      set opinion opinion + (difference * changing-opinion-strength)
      set-color
    ]

    set sum-change sum-change + abs (starting-opinion - opinion)
  ]
end

;; asking all neighbors and leaning towards average opinion
to opinion-strategy-2
  let sum-opinion 0
  ask turtles with [ stubborn? = false ]
  [
    let starting-opinion opinion

    if random 100 < changing-opinion-prob [
      ask link-neighbors [ set sum-opinion sum-opinion + opinion ]
      let difference 0
      if count link-neighbors != 0 [ set difference sum-opinion / count link-neighbors - opinion]
      set opinion opinion + (difference * changing-opinion-strength)
      set-color
      set sum-opinion 0
    ]

    set sum-change sum-change + abs (starting-opinion - opinion)
  ]
end

to-report min-opinion
  let i 1
  ask turtles [ if opinion < i [set i opinion] ]
  report i
end

to-report max-opinion
  let i 0
  ask turtles [ if opinion > i [set i opinion] ]
  report i
end

to-report avg-opinion
  let i 0
  ask turtles [ set i i + opinion ]
  report i / people
end

to-report zero-pad [n places]
  let result (word precision n places)
  if not is-number? position "." result [
    set result (word result ".")
  ]
  let padding-amount position "." result - length result + places + 1
  let padding reduce word fput "" n-values padding-amount [0]
  report (word result padding)
end

to-report count-turtles-in [lower-interval upper-interval]
  report ( count turtles with [ opinion >= lower-interval and opinion < upper-interval ] )
end

to-report max-opinion-from [percent]
  let i (people - 1) * percent / 100
  report item i sort [ opinion ] of turtles
end
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extremes
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PLOT
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"set-plot-pen-mode 1\nset-plot-y-range 0 count turtles\nset-histogram-num-bars 7" ""
PENS
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PENS
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"pen-2" 1.0 0 -13791810 true "" "plot max-opinion-from 20"
"pen-3" 1.0 0 -11221820 true "" "plot max-opinion-from 30"
"pen-4" 1.0 0 -14835848 true "" "plot max-opinion-from 40"
"pen-5" 1.0 0 -13840069 true "" "plot max-opinion-from 50"
"pen-6" 1.0 0 -10899396 true "" "plot max-opinion-from 60"
"pen-7" 1.0 0 -1184463 true "" "plot max-opinion-from 70"
"pen-8" 1.0 0 -612749 true "" "plot max-opinion-from 80"
"pen-9" 1.0 0 -955883 true "" "plot max-opinion-from 90"
"pen-10" 1.0 0 -2674135 true "" "plot max-opinion-from 100"

@#$#@#$#@
## 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 5.3.1
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
  <experiment name="experiment" repetitions="1" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <timeLimit steps="400"/>
    <metric>avg-opinion</metric>
    <enumeratedValueSet variable="changing-opinion-strategy">
      <value value="&quot;continuous - one neighbor&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strength">
      <value value="0.5"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="200"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="network-type">
      <value value="&quot;spatial-graph&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="rewiring-probability">
      <value value="11"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-node-degree">
      <value value="7"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-prob">
      <value value="0"/>
      <value value="20"/>
      <value value="40"/>
      <value value="60"/>
      <value value="80"/>
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="opinions">
      <value value="3"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment" repetitions="1" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <metric>count turtles</metric>
    <enumeratedValueSet variable="rewiring-probability">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strategy">
      <value value="&quot;one neighbor&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="opinion-distribution">
      <value value="&quot;uniform&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="network-type">
      <value value="&quot;random-graph&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-node-degree">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="200"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strength">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="stubborn-prob">
      <value value="0"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="random-graph_node-degree_opinion-ditrib" repetitions="10" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <exitCondition>ticks &gt; 199</exitCondition>
    <metric>sum-change</metric>
    <metric>count turtles with [opinion &lt; 0.2]</metric>
    <metric>count turtles with [opinion &gt;= 0.2 and opinion &lt; 0.4]</metric>
    <metric>count turtles with [opinion &gt;= 0.2 and opinion &lt; 0.4]</metric>
    <metric>count turtles with [opinion &gt;= 0.2 and opinion &lt; 0.4]</metric>
    <metric>count turtles with [opinion &gt;= 0.8]</metric>
    <metric>max-opinion</metric>
    <metric>avg-opinion</metric>
    <metric>min-opinion</metric>
    <enumeratedValueSet variable="rewiring-probability">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strategy">
      <value value="&quot;one neighbor&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="opinion-distribution">
      <value value="&quot;uniform&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="network-type">
      <value value="&quot;random-graph&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-node-degree">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="200"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strength">
      <value value="0.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="stubborn-prob">
      <value value="0"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment" repetitions="1" runMetricsEveryStep="true">
    <setup>setup</setup>
    <go>go</go>
    <metric>histogram [opinion] of turtles</metric>
    <enumeratedValueSet variable="opinion-distribution">
      <value value="&quot;uniform&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="people">
      <value value="100"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="average-node-degree">
      <value value="7"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strategy">
      <value value="&quot;all neighbors&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="stubborn-prob">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-prob">
      <value value="10"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="network-type">
      <value value="&quot;spatial-graph&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="changing-opinion-strength">
      <value value="0.1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="rewiring-probability">
      <value value="30"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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