antivaxemo_v3.nlogo

globals [
  initial-antivaxxers
  antivaxxers
  initial-activists
  activists
  activistsset
  proactivists
  proactivistset
  nummessages
  probability-doctor-doubt
  o1 o2 od1 fij
  doctor-interaction
  patient-interaction
  message-interaction
  dicounter picounter micounter
  histogram-list
  t h1 h2 h3 h4 h5 h6 h7 h8 h9 h10
  h11 h12 h13 h14 h15 h16 h17 h18 h19 h20 h21
  tekscik
  conversiontime
  isintervention
  isafterintervention
  interventionstart
  interventionend
  afterinterventionend
  startingperiod
  newmessages
  newmessages1
  test
]


breed [patients patient]
breed [doctors doctor]
breed [messages message]
breed [initiators initiator]
breed [propagandists propagandist]



turtles-own [opinion location age]




to setup
  clear-all
  reset-ticks
  set t 0
  ;file-close-all
  ;if file-exists? "evolutiona.txt" [file-delete "evolutiona.txt"]
  ;if file-exists? "histogram.z" [file-delete "histogram.z"]
  ;file-open "histogram.z"
  ;set tekscik "! nx 21 ny"
  ;file-type tekscik
  ;file-write maxsteps
  ;set tekscik "  xmin -1.9 xmax 2 ymin 0 ymax "
  ;file-type tekscik
  ;file-write maxsteps
  ;file-print "   "
  ;file-close
  set isintervention 0
  set startingperiod 92

  create-patients 2000
  ask patients
  [set opinion random-normal centeropinion initialSD
    set shape "person"
    set size 2
    set location (random-float 2)
    if opinion > 2 [set opinion 2]
    if opinion < -2 [set opinion -2]
    set ycor opinion * 40
    if opinion >= 0 [set color scale-color green opinion 2.5 -0.5]
    if opinion < 0 [set color scale-color red opinion -2.5 0.5]
    if opinion > ActivismThreshold [set size 3]
    if opinion < -1 * ActivismThreshold [set size 3]
    set age random 90
    set xcor age
  ]

  set activistsset patients with [opinion < -1 * ActivismThreshold ]

  create-initiators numberinitiators
  ask initiators
  [set opinion -1 * ((random-float (2 - ActivismThreshold)) + ActivismThreshold)
    set shape "face sad"
    set size 3
    set location ((random-float 0.2) - 2)
    if opinion > 2 [set opinion 2]
    if opinion < -2 [set opinion -2]
    set xcor location * 50
    set ycor opinion * 40
    set color red
  ]

  create-propagandists numpropagandists
  ask propagandists
  [set opinion ((random-float (2 - ActivismThreshold)) + ActivismThreshold)
    set shape "face happy"
    set size 3
    set color 95
    set location ((random-float 0.2) - 2)
    if opinion > 2 [set opinion 2]
    if opinion < -2 [set opinion -2]
    set xcor location * 50
    set ycor opinion * 40
  ]

  set initial-antivaxxers count patients with [opinion < -1.0]
  set probability-doctor-doubt initial-antivaxxers / 2000.0
  set conversiontime 0

  create-doctors 100
  ask doctors
  [set size 3
    let choice random-float 1
    ifelse choice < doctorconformism * probability-doctor-doubt
      [set opinion random-float -0.25
      set shape "face neutral"]
      [set opinion 1. + (random-float 1)
      set shape "face happy"]
    set location (2 - (random-float 0.2))
    if opinion > 2 [set opinion 2]
    if opinion < -2 [set opinion -2]
    set xcor location * 50
    set ycor opinion * 40
    if opinion >= 0 [set color scale-color green opinion 2.5 0]
    if opinion < 0 [set color scale-color red opinion -2.5 0]
  ]
  ask patches [
    set pcolor white
    if pycor < 40 * vaccinationthreshold [set pcolor 49]
    if pycor < -40 * ActivismThreshold  [set pcolor 19]
  ]


  reset-ticks
end


to write-message
  set newmessages 0
  set newmessages1 0
  if activists > 0 [
    ask activistsset [
      ; up to 5 messages may be written during a time tick
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
    ]
    set newmessages1 newmessages
  ]

    if (proactivists > 0) and (isafterintervention = 1) [
    ask proactivistset [
      ; up to 10 messages may be written during a time tick - trolls are more active
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
    ]
  ]

    ask initiators [
      if opinion < -1 * ActivismThreshold [
      ; up to 5 messages may be written during a time tick
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      set test random-float 1
      if test < writingprobability [
        hatch-messages 1
        set newmessages (newmessages + 1)]
      ]
    ]


  ask messages [
    if age >= 0 [set age -1]
    set shape "square"
    set size 1
    set xcor age
    set ycor opinion * 40
    if opinion >= 0 [set color scale-color green opinion 2.5 -0.5]
    if opinion < 0 [set color scale-color red opinion -2.5 0.5]
  ]


end

to ageall
  ask patients [
    ifelse (abs opinion) > ActivismThreshold
    [set age age + activistaging]
    [set age age + 1]
    ifelse age > 90  ; create new agent with age 0 and new opinion
    [set age 1
      set opinion random-normal centeropinion initialSD
      if opinion > 2 [set opinion 2]
      if opinion < -2 [set opinion -2]]
    [set xcor age] ; otherwise just shift right
  ]
  ask messages [
    set age age - messageaging
    ifelse age < -90
    [die]
    [set xcor age]
  ]
end

to ask-a-doctor
  ask patients [
    set o1 opinion  ; o1 holds initial opinion of the patient
    let prob random-float 1
    if prob < doctor-visit-ratio [ ; visit to a doctor takes place
      ask one-of doctors [
        set od1 opinion ; opinion of the doctor
        ifelse od1 < 0 and count messages > 0 [    ; uncommitted, doubting doctor
          ask one-of messages [ ; patient turns to messages instead
            set od1 opinion
            set micounter micounter + 1
            if (o1 < -1 * ActivismThreshold) and (o1 < od1) [
              set fij (2 - abs o1) / (2 - FilteringThreshold)] ; anti vaxx activists filter views of lower committment
            if ( o1 < -1 * ActivismThreshold) and (od1 > 0) [set fij 0] ; antivaxx activists have absolute rejection of mesages pro vaccinating
            if (o1 > ActivismThreshold) and (o1 > od1) [
              set fij (2 - abs o1) / (2 - FilteringThreshold)] ; pro vaxx activists filter views of lower committment
            if ( o1 > ActivismThreshold) and (od1 < 0) [set fij 0] ; pro vaxx activists have absolute rejection of mesages anti vaccinating
          ]
        ]
        [
          set dicounter dicounter + 1
          set od1 opinion  ; as before od1 is the interacting party opinion
          if ((abs o1) > FilteringThreshold) and (o1 * od1 < 0 ) [ ; agents above Filtering Threashold take less count of opposing views
            set fij (2 - abs o1) / (2 - FilteringThreshold) ]
          if (o1 < -1 * ActivismThreshold) and (o1 < od1) [
            set fij (2 - abs o1) / (2 - FilteringThreshold)] ; anti vaxx activists filter views of lower committment
          if ( o1 < -1 * ActivismThreshold) and (od1 > 0) [set fij 0] ; antivaxx activists have absolute rejection of views of people pro vaccinating
        ]
      ]  ; end of getting the opinion

      ; patient processes the opinion (from the committed doctor or from messages)
      set o2 ((1 - alpha * fij) * o1 + alpha * fij * od1)
      set opinion o2 ; adjust agents opinion after interacting with a doctor
      set ycor opinion * 40
      ifelse  opinion < -1 * ActivismThreshold [set size 3] [set size 2]
      if opinion >= 0 [set color scale-color green opinion 2.5 -0.5]
      if opinion < 0 [set color scale-color red opinion -2.5 0.5]
    ]
  ]
end

to sample-opinion
  ask patients [
    set o1 opinion
    set fij 1
    ask one-of other turtles [ ; includes random visits to doctors, initiators, activists, messages and other patients
      if breed = patients [    ; meetings with other patients are filtered according to difference of opinions and patient status
        set picounter picounter + 1
        set od1 opinion  ; as before od1 is the interacting party opinion
        if ((abs o1) > FilteringThreshold) and (o1 * od1 < 0 ) [ ; agents above Filtering Threashold take less count of opposing views
          set fij (2 - abs o1) / (2 - FilteringThreshold) ]
        if (o1 < -1 * ActivismThreshold) and (o1 < od1) [
          set fij (2 - abs o1) / (2 - FilteringThreshold)] ; anti vaxx activists filter views of lower committment
        if ( o1 < -1 * ActivismThreshold) and (od1 > 0) [set fij 0] ; antivaxx activists have absolute rejection of views of people pro vaccinating
      ]
      if breed = doctors [    ; meetings with doctors are filtered according to difference of opinions and patient status
        set dicounter dicounter + 1
        set od1 opinion  ; as before od1 is the interacting party opinion
        if ((abs o1) > FilteringThreshold) and (o1 * od1 < 0 ) [ ; agents above Filtering Threashold take less count of opposing views
          set fij (2 - abs o1) / (2 - FilteringThreshold) ]
        if (o1 < -1 * ActivismThreshold) and (o1 < od1) [
          set fij (2 - abs o1) / (2 - FilteringThreshold)] ; anti vaxx activists filter views of lower committment
        if ( o1 < -1 * ActivismThreshold) and (od1 > 0) [set fij 0] ; antivaxx activists have absolute rejection of views of people pro vaccinating
      ]
      if breed = messages [    ; messages are only filtered for activists
        set micounter micounter + 1
        set od1 opinion  ; as before od1 is the interacting party opinion
        if (o1 < -1 * ActivismThreshold) and (o1 < od1) [
          set fij (2 - abs o1) / (2 - FilteringThreshold)] ; anti vaxx activists filter views of lower committment
        if ( o1 < -1 * ActivismThreshold) and (od1 > 0) [set fij 0] ; antivaxx activists have absolute rejection of mesages pro vaccinating
        if (o1 > ActivismThreshold) and (o1 > od1) [
          set fij (2 - abs o1) / (2 - FilteringThreshold)] ; pro vaxx activists filter views of lower committment
        if ( o1 > ActivismThreshold) and (od1 < 0) [set fij 0] ; pro vaxx activists have absolute rejection of mesages anti vaccinating
      ]
    ]
    set o2 ((1 - alpha * fij) * o1 + alpha * fij * od1)
    set opinion o2 ; adjust agents opinion after interaction
    set ycor opinion * 40
    ifelse abs opinion > ActivismThreshold [set size 3] [set size 2]
    if opinion >= 0 [set color scale-color green opinion 2.5 -0.5]
    if opinion < 0 [set color scale-color red opinion -2.5 0.5]
  ]
end

to update-doctors
  set antivaxxers count patients with [opinion < vaccinationthreshold]
  ask doctors [
    set size 3
    let choice random-float 1
    ifelse choice < doctorconformism * antivaxxers / 2000
      [set opinion random-float -0.25
      set shape "face neutral"]
      [set opinion 1. + (random-float 1)
      set shape "face happy"]
    set location (2 - (random-float 0.2))
    if opinion > 2 [set opinion 2]
    if opinion < -2 [set opinion -2]
    set xcor location * 50
    set ycor opinion * 40
    if opinion >= 0 [set color scale-color green opinion 2.5 0]
    if opinion < 0 [set color scale-color red opinion -2.5 0]
  ]
end



to printout-evolution-line
  file-open "evolutiona.txt"
  set nummessages count messages
  ;set histogram-list (list t antivaxxers activists nummessages doctor-interaction patient-interaction message-interaction h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 h11 h12 h13 h14 h15 h16 h17 h18 h19 h20 h21)
  file-write t
  file-write antivaxxers ;
  file-write activists
  file-write nummessages
  file-write doctor-interaction
  file-write patient-interaction
  file-write message-interaction
  file-print "   ";h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 h11 h12 h13 h14 h15 h16 h17 h18 h19 h20 h21] ;histogram-list
  file-close
end

to printout-histogram-line
  file-open "histogram.z"

  set nummessages count messages
  set h1 count patients with [opinion < -0.95 * 2 ]
  set h2 count patients with [(opinion < -0.85 * 2) and (opinion >= -0.95 * 2)]
  set h3 count patients with [(opinion < -0.75 * 2) and (opinion >= -0.85 * 2)]
  set h4 count patients with [(opinion < -0.65 * 2) and (opinion >= -0.75 * 2)]
  set h5 count patients with [(opinion < -0.55 * 2) and (opinion >= -0.65 * 2)]
  set h6 count patients with [(opinion < -0.45 * 2) and (opinion >= -0.55 * 2)]
  set h7 count patients with [(opinion < -0.35 * 2) and (opinion >= -0.45 * 2)]
  set h8 count patients with [(opinion < -0.25 * 2) and (opinion >= -0.35 * 2)]
  set h9 count patients with [(opinion < -0.15 * 2) and (opinion >= -0.25 * 2)]
  set h10 count patients with [(opinion < -0.05 * 2) and (opinion >= -0.15 * 2)]
  set h11 count patients with [(opinion < 0.05 * 2) and (opinion >= -0.05 * 2)]
  set h12 count patients with [(opinion < 0.15 * 2) and (opinion >= 0.05 * 2)]
  set h13 count patients with [(opinion < 0.25 * 2) and (opinion >= 0.15 * 2)]
  set h14 count patients with [(opinion < 0.35 * 2) and (opinion >= 0.25 * 2)]
  set h15 count patients with [(opinion < 0.45 * 2) and (opinion >= 0.35 * 2)]
  set h16 count patients with [(opinion < 0.55 * 2) and (opinion >= 0.45 * 2)]
  set h17 count patients with [(opinion < 0.65 * 2) and (opinion >= 0.55 * 2)]
  set h18 count patients with [(opinion < 0.75 * 2) and (opinion >= 0.65 * 2)]
  set h19 count patients with [(opinion < 0.85 * 2) and (opinion >= 0.75 * 2)]
  set h20 count patients with [(opinion < 0.95 * 2) and (opinion >= 0.85 * 2)]
  set h21 count patients with [(opinion <= 2.0) and (opinion >= 0.95 * 2)]
  ;set histogram-list (list t antivaxxers activists nummessages doctor-interaction patient-interaction message-interaction h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 h11 h12 h13 h14 h15 h16 h17 h18 h19 h20 h21)
  file-write h1
  file-write h2
  file-write h3
  file-write h4
  file-write h5
  file-write h6
  file-write h7
  file-write h8
  file-write h9
  file-write h10
  file-write h11
  file-write h12
  file-write h13
  file-write h14
  file-write h15
  file-write h16
  file-write h17
  file-write h18
  file-write h19
  file-write h20
  file-write h21;histogram-
  file-print "   "
  file-close
end

to intervene
  if isintervention = 1 [   ; intervention
    ask propagandists [     ; during time of intervention propagandists write messages
      hatch-messages 1
    ]
  ]
end

to checkintervention
  if numpropagandists > 0 [   ; all this happens only when there are propagandists
    if isintervention = 0 [   ; creating intervention condition
      if count patients with [opinion < vaccinationthreshold] > interventiontrigger [
        set isintervention 1
        set isafterintervention 1
        set interventionstart t
        set interventionend (t + interventionlength)
        set afterinterventionend (interventionend + afterinterventiontime)
      ]
    ]
    if isintervention = 1 [   ; destroying intervention condition
      if t > interventionend [  ; duration of intervention exceeded
        set isintervention 0 ]
    ]
    if isafterintervention = 1 [   ; destroying after intervention condition
      if t > afterinterventionend [  ; duration of intervention exceeded
        set isafterintervention 0 ]
    ]


  ]
end

to cullmessages
  ask messages [
    set test random-float 1
    if test > (maxmessages / (count messages + 1)) [ die ]
  ]
end


to go
  write-message
  ageall
  if t >= startingperiod [
    set dicounter 0
    set picounter 0
    set micounter 0
    ask-a-doctor
    checkintervention
    intervene
    cullmessages
    sample-opinion
    intervene
    set doctor-interaction dicounter
    set patient-interaction picounter
    set message-interaction micounter
    set activists count patients with [opinion < -1 * ActivismThreshold ]
    set proactivists count patients with [opinion > ActivismThreshold]
    ifelse conversiontime > 0 [
      stop
    ]
    [
      if activists > 1600   [set conversiontime t]
    ]
    set activistsset patients with [opinion < -1 * ActivismThreshold ]
    set proactivistset patients with [opinion > ActivismThreshold ]
    update-doctors
    ;printout-evolution-line
    ;printout-histogram-line
  ]
  set t t + 1
  tick

  if ticks > maxsteps + 2 + startingperiod [
    ;file-open "histogram.z"
    ;file-print "   "

    ;file-close-all
    stop]




end
@#$#@#$#@
GRAPHICS-WINDOW
860
22
1873
836
-1
-1
5.0
1
10
1
1
1
0
0
0
1
-100
100
-80
80
1
1
1
ticks
30.0

SLIDER
39
127
211
160
ActivismThreshold
ActivismThreshold
1
2
1.8
0.01
1
NIL
HORIZONTAL

SLIDER
39
170
211
203
FilteringThreshold
FilteringThreshold
0
2
1.0
0.1
1
NIL
HORIZONTAL

BUTTON
146
38
209
71
NIL
go
T
1
T
OBSERVER
NIL
NIL
NIL
NIL
1

BUTTON
40
38
103
71
NIL
setup
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL
1

SLIDER
39
272
211
305
centeropinion
centeropinion
-2
2
0.0
0.1
1
NIL
HORIZONTAL

SLIDER
40
327
212
360
initialSD
initialSD
0
1
0.5
0.05
1
NIL
HORIZONTAL

SLIDER
39
84
211
117
numberinitiators
numberinitiators
0
10
1.0
1
1
NIL
HORIZONTAL

SLIDER
42
380
214
413
writingprobability
writingprobability
0
1
0.45
0.01
1
NIL
HORIZONTAL

SLIDER
44
430
216
463
doctor-visit-ratio
doctor-visit-ratio
0
1
0.15
0.01
1
NIL
HORIZONTAL

SLIDER
44
520
216
553
alpha
alpha
0
1
0.66
0.01
1
NIL
HORIZONTAL

SLIDER
40
220
212
253
vaccinationthreshold
vaccinationthreshold
-2
0
-1.0
0.05
1
NIL
HORIZONTAL

PLOT
463
23
807
173
Antivaxxers
time
NIL
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"default" 1.0 0 -2674135 true "" "plot count patients with [opinion < vaccinationthreshold]"

PLOT
464
193
808
343
Doubting doctors
NIL
NIL
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"pen-1" 1.0 0 -13791810 true "" "plot count doctors with [opinion < 0]"

PLOT
464
365
808
515
Messages in the system
time
NIL
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"default" 1.0 0 -16777216 true "" "plot count messages"
"pen-1" 1.0 0 -11085214 true "" "plot count messages with [opinion > 0]"
"pen-2" 1.0 0 -2674135 true "" "plot count messages with [opinion < 0]"

PLOT
38
690
378
840
Opinion distribution
opinion
NIL
-2.0
2.0
0.0
500.0
false
false
"" ""
PENS
"default" 0.1 1 -16777216 true "" "histogram [opinion] of patients"

PLOT
465
527
808
677
New Activists
NIL
NIL
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"default" 1.0 0 -2674135 true "" "plot count patients with [opinion < -1 * ActivismThreshold]"
"pen-1" 1.0 0 -14439633 true "plot count patients with [opinion > ActivismThreshold]" ""

SLIDER
45
477
218
510
doctorconformism
doctorconformism
0
1
0.5
0.02
1
NIL
HORIZONTAL

INPUTBOX
44
613
221
673
maxsteps
20100.0
1
0
Number

MONITOR
246
618
343
663
NIL
conversiontime
0
1
11

SLIDER
44
568
217
601
maxmessages
maxmessages
0
3000
2000.0
100
1
NIL
HORIZONTAL

SLIDER
249
269
422
302
interventiontrigger
interventiontrigger
0
500
220.0
20
1
NIL
HORIZONTAL

SLIDER
250
324
423
357
numpropagandists
numpropagandists
0
20
0.0
1
1
NIL
HORIZONTAL

SLIDER
249
378
422
411
interventionlength
interventionlength
0
50
20.0
1
1
NIL
HORIZONTAL

MONITOR
246
567
342
612
NIL
isintervention
0
1
11

SLIDER
248
433
428
466
afterinterventiontime
afterinterventiontime
0
50
40.0
5
1
NIL
HORIZONTAL

MONITOR
246
519
342
564
NIL
isafterintervention
0
1
11

SLIDER
253
88
426
121
messageaging
messageaging
1
6
5.0
1
1
NIL
HORIZONTAL

SLIDER
255
138
428
171
activistaging
activistaging
1
6
3.0
1
1
NIL
HORIZONTAL

PLOT
467
696
810
846
New Messages
NIL
NIL
0.0
10.0
0.0
10.0
true
false
"" ""
PENS
"default" 1.0 0 -2674135 true "" "plot newmessages1"

@#$#@#$#@
## WHAT IS IT?

The model intends to provida a dynamic environment to simulate the anti-vaccination movement. 

## HOW IT WORKS

There are four types og agents in the model. The main group is formed by 2000 "_patients_" - agents who might support vaccination or oppose it. This is measured by agents "_opinion_" variable, limited between -2 (strong anti-vaccination) and +2 (strong pro-vaccination).
Depending on the current value of an agent's opinion it may "decide" to vaccinate, or not. The threshold for vaccination os determined by the "_vaccinationthreshold_" variable. Its suggested value is -1, which corresponds to assumption that anti-vaccination opinion must be quite strong to overcome social and legal pressures imposed by the state to promote vaccination.

_Patients_ are created with a normal distribution of opinions, detemined by the centre (_centreopinion_) and Standard Deviation (_initialSD_). Agents "age" with each program steps by two units (which is shown by a shift to the right in the model visual panel). Upon reaching the age of 90 time units (which may correspond to weeks or months, for example), the _patient_ exits the pool and is replaced by a new one with opinion drawn from the same distribution. This aging process corresponds to limited time window in which typical agents are concerned with vaccination (e.g. "window" of MMR vaccination of children). 

_Patients_ can change their opinions through interactions with other agents in the model. A _patient_ with _opinion_ o1, interacting with another agent with _opinion_ o2 will change its opinion according to the formula
o1' = (1-alpha fij) o1 + alpha fij o2,
where _alpha_ determines the tempo of adoption of others' opinion (suggested values 0.5 or 0.67); and _fij_ is the filtering factor, describing the decrease of influence of opinions far from the current opinion o1. 

_Patients_ with _opinion_ below _activismthreshold_ become anti-vaccination activists

## 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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<experiments>
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