Word-of-mouth with Information Seeking

Word-of-mouth with Information Seeking preview image

1 collaborator

Default-person Samuel Thiriot (Author)

Tags

complex networks 

Tagged by Samuel Thiriot about 6 years ago

diffusion of innovations 

Tagged by Samuel Thiriot about 6 years ago

diffusion of technology 

Tagged by Samuel Thiriot about 6 years ago

social networks 

Tagged by Samuel Thiriot about 6 years ago

word of mouth 

Tagged by Samuel Thiriot about 6 years ago

Visible to everyone | Changeable by the author
Model was written in NetLogo 6.0.3 • Viewed 548 times • Downloaded 29 times • Run 0 times
Download the 'Word-of-mouth with Information Seeking' modelDownload this modelEmbed this model

Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)


Info tab cannot be displayed because of an encoding error

Comments and Questions

Please start the discussion about this model! (You'll first need to log in.)

Click to Run Model

extensions [nw]

globals
[
  ticks-for-peak-A ;; the tick for the max of Awareness (was never higher later)
  last-max-peak-A
  ticks-for-peak-AK ;; the tick for the max of AK (was never higher later)
  last-max-peak-AK
  ticks-last-activity ; the last tick when something happened
]

;; defines the type used for links
undirected-link-breed [edges edge]

;; "turtles" (in the good old netlogo terminology)
;; represent individuals holding states for awareness and an expertise
;; they are also nodes in the social network
turtles-own
[
  unaware?           ;; state on the awareness dimension: if true, the turtle is unaware
  seeking?           ;; state on the awareness dimension: if true, the turtle is seeking (aware and search for info)
  aware?             ;; state on the awareness dimension: if true, the turtle is aware (and not seeking)
  ignorant?          ;; state on the expertise dimension: if true, the turtle is ignorant
  proactive?         ;; state on the expertise dimension: if true, the turtle is knowledgeable and proactively passing the word
  knowledgeable?     ;; state on the expertise dimension: if true, the turtle is knowledgeable but passive

  ; characteristics which remain constant
  curious?            ;; if true, this individual would like to seek actively information
  enthusiastic?          ;; if true, thisindividual would ike to promote his knowledge
  supporter?

  time ; if > 0, the time to remain in this step
]

;; "links" represent social links.
;; their states are just used to understand what happens during the simulation
;; (visualisation) but not for computations.
links-own
[
 cascade-awareness?
 cascade-expertise?
 chain-retrieval?
]

to-report result-A
  report (count turtles with [not unaware?] / count turtles)
end 

to-report result-AK
  report count turtles with [(not unaware?) and (not ignorant?)] / count turtles
end 

to-report genlab-outputs
  report ["result-AK" "result-A" ]
end 

to setup-network-load
  ;; load the network from the file and also initialize their state
  show "creating network"
  nw:generate-watts-strogatz turtles links count-individuals count-neighboors 0.1
   [
    ; for visual reasons, we don't put any turtles *too* close to the edges
    setxy (random-xcor * 0.8) (random-ycor * 0.8)
    set size 1.5
    set unaware? true
    set seeking? false
    set aware? false
    set ignorant? true
    set proactive? false
    set knowledgeable? false
    set time 0
  ]
   show "loaded links and turtles"
   show count edges
   show count turtles
   ;; also layout it for beauty purpose
   if (with-gui) [
    ifelse (count-individuals < 1500) [
     show "network graphical layout..."
      layout-radial turtles links (turtle 0)
     repeat 200 [layout-spring turtles links 0.1 5 5]
    ] [
      show "too many nodes for a beautiful layout, doing a quick layout, sorry"
      layout-radial turtles links (turtle 0)
    ]
   ]
  show "end of init, let's play!"
end 

to setup

  clear-all

  setup-network-load
  setup-turtles

  ; init the characteristics
  ask turtles [
    set curious? false
    set enthusiastic? false
    set supporter? false
  ]

  ask n-of (proportion-curious * count turtles) turtles [
    set curious? true
  ]
  ask n-of (proportion-enthusiastic * count turtles) turtles [
      set enthusiastic? true
  ]
  ask n-of (proportion-supporters * count turtles) turtles [
        set supporter? true
  ]

  ask turtles [
    set shape "circle"
    if curious? [ set shape "triangle" ]
    if enthusiastic? or supporter? [  set shape "square"]
    if curious? and (enthusiastic? or supporter?) [set shape "pentagon"]
      if (with-gui) [ set-color ]
  ]



  set ticks-for-peak-A 0
  set ticks-for-peak-AK 0
  set last-max-peak-A 0
  set last-max-peak-AK 0
  set ticks-last-activity 0

  ask n-of (initial-proportion-knowledgeable * count turtles) turtles [ become-knowledgeable ]

  ask links [
    set chain-retrieval? false
    set cascade-expertise? false
    set cascade-awareness? false
    set color gray
  ]

  reset-ticks
end 

to setup-turtles
  if (with-gui) [ set-default-shape turtles "circle" ]
end 

to go
  ; stopping condition
  if (
    ((ticks < advertisement-duration) and not (any? turtles with [ proactive? or seeking? or unaware?]))
    or
    ((ticks >= advertisement-duration) and not (any? turtles with [ proactive? or seeking?]))
    )
    [ stop ]

  ; change the state of agents which are in timeout
  manage-timeouts

  ; inform with advertisement
  if (ticks < advertisement-duration) [
    ask n-of (advertisement-proportion-per-step * count turtles) turtles [ receive-advertisement ]
  ]
  ; change from proactive to knowledage, or seeking to aware
  exchange-info

  ; detect outputs related to time
  update-ticks-detection

  tick
end 

to update-ticks-detection
  let prop_A (count turtles with [aware?] / count turtles)
  if (prop_A > last-max-peak-A) [
    set ticks-for-peak-A ticks
    set last-max-peak-A prop_A
  ]

  let prop_AK (count turtles with [not unaware? and not ignorant?] / count turtles)
  if (prop_AK > last-max-peak-AK) [
    set ticks-for-peak-AK ticks
    set last-max-peak-AK prop_AK
  ]

  set ticks-last-activity max list ticks-for-peak-A ticks-for-peak-AK
end 

to set-color
  if (with-gui) [
  if (unaware? and ignorant?) [ set color gray set label "UI"]
  if (unaware? and proactive?) [ set color orange  set label "UP"]
  if (unaware? and knowledgeable?) [ set color brown set label "UK"]

  if (seeking? and ignorant?) [ set color green set label "SI"]

  if (aware? and ignorant?) [ set color gray set label "AI"]
  if (aware? and proactive?) [ set color red set label "AP"]
  if (aware? and knowledgeable?) [ set color violet set label "AK"]


  ; these cases are errors
  if (seeking? and proactive?) [ set color green set label "!SP" print "illegal SP" print who]
  if (seeking? and knowledgeable?) [ set color green set label "!SK" print "illegal SK" print who]

  ]
end 

to become-unaware ;; turtle procedure
  set unaware? true
  set seeking? false
  set aware? false
  set time 0
  set-color
end 

to become-seeking  ;; turtle procedure
  if (unaware?) [
    set unaware? false
    set seeking? true
    set aware? false
    set time duration-seek
    set-color
  ]
end 

to become-aware  ;; turtle procedure
  set unaware? false
  set seeking? false
  set aware? true
  set time 0
  set-color
end 

to become-ignorant ;; turtle procedure
  set ignorant? true
  set proactive? false
  set knowledgeable? false
  set time 0
  set-color
end 

to become-proactive ;; turtle procedure
  ;show "becoming proactive"
  set ignorant? false
  set proactive? true
  set knowledgeable? false
  set time duration-proactive
  if (seeking?) [ set seeking? false set aware? true ]
  set-color
end 

to become-knowledgeable ;; turtle procedure
  set ignorant? false
  set proactive? false
  set knowledgeable? true
  set time 0
  if (seeking?) [ set seeking? false set aware? true ]
  set-color
end 

to inform-someone
  ask one-of turtles [ become-proactive ]
end 

to advertise-someone
  ask one-of turtles [ receive-advertisement ]
end 

to receive-advertisement
  if unaware?
  [
    if (ignorant?) [
      ifelse (curious?) [ become-seeking] [ become-aware]
    ]
    if (knowledgeable?) [
      become-aware
      if (supporter?) [ become-proactive]
    ]
  ]
end 

to receive-knowledge
  ;show "receive knowledge"
  if ignorant?
  [
   ;show "receive knowledge 2"
   ifelse enthusiastic? [ become-proactive ] [ become-knowledgeable ]
  ]
end 

to manage-timeouts

  ask turtles with [time > 0 and (seeking? or proactive?)]
    [
      set time (time - 1)
    ]
  ask turtles with [proactive? and time = 0]
     [
      become-knowledgeable
     ]
  ask turtles with [seeking? and time = 0]
     [
      become-aware
     ]
end 

; when agent a1 meets a2, then a2 will receive any piece of unknown information from a1

to-report exchange-info-agents [ a1 a2 ]
  let exchange false

  if ( (not [unaware?] of a1) and ([unaware?] of a2)) [
    ask a2 [receive-advertisement]
    set exchange true
  ]

  if ( (not [ignorant?] of a1) and ([ignorant?] of a2)) [
   ask a2 [receive-knowledge]
   set exchange true
  ]

  report exchange
end 

to exchange-info

  ; by default, all the links are gray

  ; drive a given number of links
  ask n-of (probability-link-meeting * count links)  links
  [

    ; so these links are at least active
    ; set color white

    if ( ( [seeking?] of end1 ) or ( [seeking?] of end2) or ( [proactive?] of end1 ) or ( [proactive?] of end2 )) [
     ; the interaction takes place

      let ignorant-before? [ignorant?] of end1 or [ignorant?] of end2
      let unaware-before? [unaware?] of end1 or [unaware?] of end2
      let seeking-before? [seeking?] of end1 or [seeking?] of end2

      let exchange12 (exchange-info-agents end1 end2)
      let exchange21 (exchange-info-agents end2 end1)

      if [not ignorant?] of end1 and [not ignorant?] of end2 and ignorant-before? [
       set cascade-expertise? true
       if seeking-before? [
         set chain-retrieval? true
       ]
      ]
      if [not unaware?] of end1 and [not unaware?] of end2 and unaware-before? [
       set cascade-awareness? true
      ]
      set color gray
      if chain-retrieval? [
          set color violet
          set thickness 0.4
      ]
      if color = gray and cascade-awareness? [
        set color green
        set thickness 0.4
      ]
      if color = gray and cascade-expertise? [
        set color orange
        set thickness 0.4
      ]

    ]

  ]
end 

; Copyright 2016 Samuel Thiriot.
; See Info tab for full copyright and license.

There is only one version of this model, created about 6 years ago by Samuel Thiriot.

Attached files

File Type Description Last updated
Word-of-mouth with Information Seeking.png preview Preview for 'Word-of-mouth with Information Seeking' about 6 years ago, by Samuel Thiriot Download

This model does not have any ancestors.

This model does not have any descendants.