extensions [sound nw] ;; For using sound and Network package

globals [
  min-prevalence
  max-prevalence
  meta-influencers-droit
  meta-influencers-gauche
  iter change total inversion try major fractale
  ordonnee abcisse profondeur
  list_data file-in in_data repet_data
  links-dead links-create meta-agents meta-create

  ;; === CSV export ===
  csv-export        ;; bool: activer/désactiver l’export CSV par essai (widget UI: switch)
  csv-basename      ;; string: préfixe fichier CSV (widget UI: input), ex: "run"
  csv-file          ;; nom du fichier CSV de l’essai courant
  csv-open?         ;; bool: fichier CSV ouvert ?

  ;; === Paramètres d’inversion / ponts (peuvent être des sliders UI) ===
  ;prevalence-weight  ;; >= 0 ; amplification du rôle de Δprégnance
  ;;adoption-floor     ;; [0..1] ; plancher minimal pour la pénalité de polarisation
  ;;bridge-prob        ;; [0..1] ; probabilité de créer un lien-pont (opinion éloignée)
]

turtles-own [
  opinion         ;; [-1, 1]
  prevalence      ;; [min-prevalence, max-prevalence]
  agent-type      ;; "Right side" | "Left side"
  influence       ;; [0, 1]
  opinion-previous
  influence-previous
  ;; Coordonnées 3D propres à chaque agent
  x3d y3d z3d
]

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; SETUP
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to setup
  clear-all
  set repet_data false
  set iter 0
  set min-prevalence 0
  set max-prevalence 99
  set-default-shape turtles "person"
  set try 1
  set major 0
  set links-dead 0
  set links-create 0
  set meta-create 0
  set meta-agents 0
  set change 0
  set total 0
  set inversion 0
  set fractale 0
  if vary-influence = true [ set meta-links meta-min ]

  ;; === Defaults CSV si widgets pas encore ajoutés ===
  if not is-boolean? csv-export [ set csv-export false ]
  if (not is-string? csv-basename) or (csv-basename = "") [ set csv-basename "run" ]
  set csv-open? false

  ;; === Defaults IMPACT DE GROUPE (si widgets absents) ===
  if (not is-string? group-impact-mode) [ set group-impact-mode "all" ]    ;; "all" | "k-nearest"
  if (not is-number? group-k) [ set group-k 10 ]
  if (not is-number? group-impact-weight) [ set group-impact-weight 0.5 ]  ;; 0..1
  if (not is-number? group-impact-alpha) [ set group-impact-alpha 1.0 ]    ;; >=0.1

  ;; === Default show-links? si widget absent ===
  if not is-boolean? show-links? [ set show-links? false ]

  ;; === Defaults inversions/ponts (si pas de sliders) ===
  if (not is-number? prevalence-weight) [ set prevalence-weight 1.5 ]  ;; amplification Δprégnance
  if (not is-number? adoption-floor)    [ set adoption-floor 0.02 ]    ;; plancher pénalité polarisation
  if (not is-number? bridge-prob)       [ set bridge-prob 0.10 ]       ;; probabilité de créer un "pont"

  set-background-black

  create
  rapport
end 

to create
  ;; Créer les agents Right side
  create-turtles pop / 2 [
    set agent-type "Right side"
    set opinion random-float 1         ;; (0,1)
    set color blue
    set prevalence random-float (opinion * 100)
    set influence random-float 1
    set opinion-previous opinion
    set influence-previous influence
    update-3d self
  ]

  ;; Créer les agents Left side
  create-turtles pop / 2 [
    set agent-type "Left side"
    set opinion (random-float 1 - 1)   ;; (-1,0)
    set color red
    set prevalence random-float (abs opinion * 100)
    set influence random-float 1
    set opinion-previous opinion
    set influence-previous influence
    update-3d self
  ]

  ;; Création des méta-influenceurs (selon vos réglages UI)
  influenceurs

  reset-ticks

  ;; Initialisation réseau via vos règles (créera des liens si conditions réunies)
  set total 0
  set change 0
  update-networks

  ;; Colorer/afficher les liens dès l’initialisation
  recolor-links
  apply-link-visibility
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; SORTIES / RAPPORT
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to rapport
  ;; titles for Statistics or Values inside compute-statistics
  if output = "Statistics" [
    output-print (word
      "Try ; " "Iter ; "
      "Opinion global ; "
      "Opinion right side ; "
      "Opinion left side ; "
      "Prevalence right side ; "
      "Prevalence left side ; "
      "Influence right side ; "
      "Influence left side ; "
      "Left % ; "  "Right % ; "
      "Links-Remove ; " "Links-Create ; "
      "Inversion % ; " "change ; " "total ; " "fractale")
  ]
  if output = "Values" [
    output-print (word "Try ; " "Ticks ; "  "Agents ; "
                        "Prevalence ; " "Opinion ; " "Influence ; " "meme droit")
  ]

  if output = "File" [
    ask turtles [
      let pre prevalence
      let mem opinion
      let infl influence
      let ti ticks
      output-print (word ti " " pre " " mem " " infl)
    ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; META-INFLUENCEURS
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to influenceurs
  ;; All
  if meta-influencers-selection = "All" [
    let k round (count turtles * meta-influencers)
    if k > 0 [
      ask n-of k turtles [
        if (prevalence > prev-low and prevalence <= prev-high) [
          set influence 1
          set color yellow
          set meta-agents meta-agents + 1
        ]
      ]
    ]
  ]
  ;; Right side
  if meta-influencers-selection = "Right side" [
    set meta-influencers-droit round (count turtles * meta-influencers)
    let candidates turtles with [opinion > 0]
    let k min list meta-influencers-droit count candidates
    if k > 0 [
      ask n-of k candidates [
        if (prevalence > prev-low and prevalence <= prev-high) [
          set influence 1
          set color yellow
          set meta-agents meta-agents + 1
        ]
      ]
    ]
  ]
  ;; Left side
  if meta-influencers-selection = "Left side" [
    set meta-influencers-gauche round (count turtles * meta-influencers)
    let candidates turtles with [opinion < 0]
    let k min list meta-influencers-gauche count candidates
    if k > 0 [
      ask n-of k candidates [
        if (prevalence > prev-low and prevalence <= prev-high) [
          set influence 1
          set color yellow
          set meta-agents meta-agents + 1
        ]
      ]
    ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; BOUCLE PRINCIPALE
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to go
  ifelse (iter < max_iter) [
    set iter iter + 1
    set meta-create 0  ;; plafond de création de liens autour des méta-influenceurs par tick

    ;; Ouvrir le CSV au premier tick de l’essai
    if (iter = 1 and csv-export and not csv-open?) [ csv-begin ]

    if auto_event = true [
      if (tick-event = iter) [ event ]
    ]
    if meta-ok = true [ meta ]

    update-opinions
    if network = true [ update-networks ]
    recolor-links
    apply-link-visibility   ;; montrer/cacher les liens selon show-links?

    if output = "Statistics" [
      let avg-opinion mean [opinion] of turtles
      let positive-opinion safe-median (turtles with [opinion >= 0]) "opinion"
      let negative-opinion safe-median (turtles with [opinion < 0])  "opinion"
      let positive-prevalence (safe-median (turtles with [opinion >= 0]) "prevalence") / 100
      let negative-prevalence (safe-median (turtles with [opinion < 0])  "prevalence") / 100
      let positive-influence safe-median (turtles with [opinion >= 0]) "influence"
      let negative-influence safe-median (turtles with [opinion < 0])  "influence"
      let Left%  (count turtles with [opinion < 0])  / (pop / 100)
      let Right% (count turtles with [opinion >= 0]) / (pop / 100)
      let ti iter
      output-print (word try " ; " ti " ; " avg-opinion " ; "
                        positive-opinion " ; " negative-opinion " ; "
                        positive-prevalence " ; " negative-prevalence " ; "
                        positive-influence " ; " negative-influence " ; "
                        Left% " ; " Right% " ; "
                        links-dead " ; " links-Create " ; "
                        inversion " ; " change " ; " total " ; " fractale)
    ]

    tick

    ;; “Fractale” via changement de base sûr
    if (change > 1 and total > 1) [
      set fractale (ln total) / (ln change)
    ]

    if (cumulative = false) [
      set change 0
      set total 0
    ]

    colorer

    ;; rafraîchir le graphique
    if (refresh = true) [
      if ticks > 200 [ reset-ticks clear-plot ]
    ]

    if threshold <= (count turtles with [opinion > 0]) / (pop / 100) [
      set major major + 1
    ]

    ;; Écrire une ligne CSV par tick
    if csv-export [ csv-row ]

  ] [
    ifelse (try < nb_try) [
      ;; Fin d’essai: fermer le CSV de l’essai courant
      if csv-export [ csv-end ]

      ;; réinitialisation pour l’essai suivant
      set try try + 1
      set major 0
      clear-turtles
      clear-plot
      set change 0
      set total 0
      set fractale 0
      set meta-links meta-min
      set iter 0
      set links-create 0
      set links-dead 0
      set meta-create 0
      set min-prevalence 0
      set max-prevalence 99
      ifelse (repet_data = true) [
        data
      ] [
        create
        set meta-links meta-min
      ]
    ] [
      ;; Fin de toutes les répétitions: fermer CSV si encore ouvert
      if csv-export [ csv-end ]
      sound:play-note "Tubular Bells" 60 64 1
      stop
    ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; MISE À JOUR DES OPINIONS (intègre l'effet de groupe + correctifs)
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to update-opinions
  ask turtles [
    set opinion-previous opinion
    let target one-of link-neighbors
    if target != nobody [
      ;; différence de prégnance, avec petite tolérance
      let raw-dprev ([prevalence] of target) - prevalence
      if raw-dprev < 1 [ set raw-dprev 0 ]
      let dprev raw-dprev / max-prevalence          ;; ~ [0,1]

      if dprev > 0 [
        ;; distance sur le signe absolu (favorise des inversions quand Δprégnance est fort)
        let dmem abs(abs(opinion) - abs([opinion] of target))

        ;; base-prob amplifiée par prevalence-weight (PAS de seconde division)
        let base-prob dprev * prevalence-weight

        ;; pénalité de polarisation bornée par adoption-floor
        let pol-penalty max list adoption-floor (1 - polarization-factor * dmem)

        ;; influence du voisin
        let p-adopt base-prob * pol-penalty * [influence] of target

        ;; effet de groupe (voisins du RECEVEUR alignés avec le SIGNE de l'émetteur)
        let sgn-emetteur sign ([opinion] of target)
        let gprob group-alignment-effective self sgn-emetteur
        let w group-impact-weight
        let alpha group-impact-alpha
        set p-adopt p-adopt * ((1 - w) + (w * (gprob ^ alpha)))

        ;; garde-fous
        if p-adopt < 0 [ set p-adopt 0 ]
        if p-adopt > 1 [ set p-adopt 1 ]

        ;; tirage d'adoption
        if random-float 1 < p-adopt [
          let old-opinion opinion
          set opinion [opinion] of target
          set total total + 1

          ;; dynamique d'influence
          set influence-previous influence
          if vary-influence = true [
            if abs(old-opinion) > abs(opinion) [
              set influence min (list 1 (influence + rate-infl))
              if (influence-previous < 1 and influence = 1) [
                if meta-ok = true [
                  if meta-links < meta-max [ set meta-links meta-links + 1 ]
                  set meta-agents meta-agents + 1
                ]
                set color yellow
              ]
            ]
            if abs(old-opinion) < abs(opinion) [
              set influence max (list 0 (influence - rate-infl))
              if (influence < influence-previous and influence-previous = 1) [
                if meta-ok = true [
                  set meta-agents meta-agents - 1
                  ifelse opinion >= 0 [ set color blue ] [ set color red ]
                ]
              ]
            ]
          ]

          ;; comptage des inversions (changement de signe)
          if (sign old-opinion) != (sign opinion) [
            set change change + 1
          ]
        ]
      ]
    ]

    ;; modulation de la prévalence
    if modulation-prevalence = true [
      if prevalence > abs opinion * 100 [
        set prevalence prevalence - abs(opinion - opinion-previous) * influence * Rate-modulation
      ]
      if prevalence < abs opinion * 100 [
        set prevalence prevalence + abs(opinion - opinion-previous) * influence * Rate-modulation
      ]
      if prevalence < min-prevalence [ set prevalence min-prevalence ]
      if prevalence > max-prevalence [ set prevalence max-prevalence ]
    ]

    ;; bruit additif
    if random-float 1 < noise [
      set opinion opinion + (random-float 0.4 - 0.2)
      if opinion > 1  [ set opinion 1 ]
      if opinion < -1 [ set opinion -1 ]
    ]

    ;; mise à jour position 3D
    update-3d self

    ;; logging fin de boucle agent
    if (output = "Values" or output = "File") [
      compute-statistics
    ]
  ]

  ;; inversion % (après la boucle)
  ifelse (total > 0)
    [ set inversion (100 * change / total) ]
    [ set inversion 0 ]
end 



;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; COLORATION
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to colorer
  ask turtles [
    if color != yellow [
      ifelse opinion >= 0 [ set color blue ] [ set color red ]
    ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; MISE À JOUR DU RÉSEAU (robuste + ponts + coloration + switch show-links?)
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to update-networks
  ;; suppression de liens
  let doomed links with [
    abs([opinion] of end1 - [opinion] of end2) > (link-removal-threshold / 100)
  ]
  let doomedProb doomed with [ random-float 1 < prob ]
  let n-remove min (list linksdown count doomedProb)
  if n-remove > 0 [
    ask n-of n-remove doomedProb [ die ]
    set links-dead links-dead + n-remove
  ]

  ;; formation de liens
  let j linksup
  while [j > 0] [
    let t one-of turtles
    if t = nobody [ stop ]
    ask t [
      let myop opinion
      let candidates other turtles with [ not link-neighbor? myself ]
      let pool-homo candidates with [ abs(opinion - myop) < (link-formation-threshold / 100) ]
      let pool-bridge candidates with [ (sign opinion) != (sign myop) ]

      let friend nobody
      if any? pool-bridge and (random-float 1 < bridge-prob) [
        set friend max-one-of pool-bridge [ abs(opinion - myop) ]
      ]
      if (friend = nobody) and any? pool-homo [
        set friend min-one-of pool-homo [ abs(opinion - myop) ]
      ]

      if friend != nobody and (random-float 1 < prob) [
        create-link-with friend
        set links-create links-create + 1
        let same-sign? (sign opinion) = (sign [opinion] of friend)
        ask link-with friend [
          set color (ifelse-value same-sign? [ green ] [ gray ])
          set thickness linktick
          if show-links? [ show-link ]
        ]
      ]
    ]
    set j j - 1
  ]
end 

to meta
  ;; 1) On n'agit pas si le réseau est gelé
  if not network [ stop ]

  ;; 2) Pour chaque agent, tenter un lien vers un méta
  ask turtles [
    ;; candidats = méta-influenceurs (jaunes) non encore liés à moi,
    ;; et qui n'ont pas dépassé leur plafond individuel de liens (meta-links)
    let pool other turtles with [
      color = yellow and
      not link-neighbor? myself and
      (count link-neighbors) < meta-links
    ]

    if any? pool [
      let friend one-of pool
      create-link-with friend

      ;; couleur/épaisseur cohérentes
      let same-sign? (sign opinion) = (sign [opinion] of friend)
      ask link-with friend [
        set color (ifelse-value same-sign? [ green ] [ gray ])
        set thickness linktick
        if show-links? [ show-link ]
      ]
    ]
  ]
end 


;; Applique la visibilité globale des liens selon le switch show-links?

to apply-link-visibility
  ifelse show-links? [
    ask links [ show-link ]
  ] [
    ask links [ hide-link ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; STATISTIQUES RUNTIMES
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to compute-statistics
  if output = "Values" [
    let pre prevalence
    let mem opinion
    let infl influence
    let ag who
    let ti ticks
    let ess try
    let memed (count turtles with [opinion > 0]) / (pop / 100)
    let maj major
    output-print (word ess " ; " ti " ; "  ag " ; " pre " ; "  mem " ; " infl " ; " memed)
  ]
  if output = "File" [
    let pre prevalence
    let mem opinion
    let infl influence
    let ti ticks
    output-print (word ti " " pre " " mem " " infl)
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; I/O : LECTURE FICHIER D’AGENTS
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to in_file  ;; File d'entrée
  carefully [
    set file-in user-file
    if (file-in != false) [
      set list_data []
      file-open file-in
      while [not file-at-end?] [
        set list_data sentence list_data (list (list file-read file-read file-read file-read))
      ]
      file-close
      user-message "File uploaded!"
      set in_data true
    ]
  ] [
    user-message "File read error"
  ]
  data
end 

to data
  clear-turtles
  clear-links
  let tick_to_load choice_iter

  ifelse (is-list? list_data) [
    let filtered_data filter [ row -> first row = tick_to_load ] list_data

    create-turtles length filtered_data [
      let my_index who
      let agent_data item my_index filtered_data

      set prevalence item 1 agent_data
      set opinion    item 2 agent_data
      set influence  item 3 agent_data
      set opinion-previous opinion
      set influence-previous influence

      if opinion < 0 [ set color red  set agent-type "Left side"  ]
      if opinion > 0 [ set color blue set agent-type "Right side" ]
      if influence = 1 [ set color yellow ]

      ;; Position initiale (2D/3D)
      update-3d self
    ]
  ] [
    set in_data false
    user-message "Read error"
  ]

  ;; créer des liens selon vos règles
  update-networks
  apply-link-visibility
  recolor-links

  influenceurs
  update-opinions
  set repet_data true
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; ÉVÉNEMENT EXTERNE
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to event  ;; moving agents to the right or left side by increasing or decreasing the prevalence
  ask turtles [
    ifelse meme_set = true [
      if (to_left = false) [
        if agent-type = "Right side" [
          if opinion < 0 [
            set opinion opinion + event_size
            if opinion > 1 [ set opinion 1 ]
          ]
        ]
      ]
      if (to_left = true) [
        if agent-type = "Left side" [
          if opinion > 0 [
            set opinion opinion - event_size
            if opinion < -1 [ set opinion -1 ]
          ]
        ]
      ]
    ] [
      if (to_left = false) [
        if (opinion < high_meme and opinion > low_meme and prevalence < high-prev and prevalence > low-prev) [
          set opinion opinion + event_size
          if (prev_change != 0) [ set prevalence prevalence + prev_change ]
          if opinion > 1 [ set opinion 1 ]
        ]
      ]
      if (to_left = true) [
        if (opinion > low_meme and opinion < high_meme and prevalence > low-prev and prevalence < high-prev) [
          set opinion opinion - event_size
          if (prev_change != 0) [ set prevalence prevalence + prev_change ]
          if opinion < -1 [ set opinion -1 ]
        ]
      ]
    ]
  ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; UTILITAIRES
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to set-background-black
  ask patches [ set pcolor black ]
end 

to update-3d [agt]
  ask agt [
    set x3d opinion * 16
    set y3d prevalence / 6
    set z3d influence * 16
    setxyz x3d y3d z3d
  ]
end 

to-report safe-median [agentset varname]
  if not any? agentset [ report 0 ]
  report median [ runresult varname ] of agentset
end 

to-report sign [x]
  ifelse x > 0 [ report 1 ] [ ifelse x < 0 [ report -1 ] [ report 0 ] ]
end 

to recolor-links
  ask links [
    let s1 sign [opinion] of end1
    let s2 sign [opinion] of end2
    ifelse s1 = s2
      [ set color green ]
      [ set color gray ]
    set thickness linktick
  ]
end 

;; ---------------------------------------------------------------------------
;; IMPACT DE GROUPE (tous les voisins liés)
;; Retourne la proportion de voisins liés dont le signe d'opinion = sign-ref.
;; Si aucun voisin lié : retourne 0.5 (neutre).
;; ---------------------------------------------------------------------------

to-report group-alignment-all [agt sign-ref]
  let nbrs [link-neighbors] of agt
  if not any? nbrs [ report 0.5 ]
  let same count nbrs with [ (sign opinion) = sign-ref ]
  report same / count nbrs
end 

;; ---------------------------------------------------------------------------
;; IMPACT DE GROUPE (k plus proches en opinion)
;; Choisit les k voisins liés les plus proches en opinion de agt,
;; puis renvoie la même proportion (même signe = sign-ref).
;; Si aucun voisin lié : 0.5 (neutre).
;; ---------------------------------------------------------------------------

to-report group-alignment-k [agt sign-ref k]
  let nbrs [link-neighbors] of agt
  let deg count nbrs
  if deg = 0 [ report 0.5 ]
  let kk max list 1 min list deg floor k
  let agop [opinion] of agt
  let pool min-n-of kk nbrs [ abs(opinion - agop) ]
  if not any? pool [ report 0.5 ]
  let same count pool with [ (sign opinion) = sign-ref ]
  report same / count pool
end 

;; ---------------------------------------------------------------------------
;; IMPACT DE GROUPE EFFECTIF selon le mode sélectionné ("all" | "k-nearest")
;; ---------------------------------------------------------------------------

to-report group-alignment-effective [agt sign-ref]
  ifelse (group-impact-mode = "k-nearest")
  [ report group-alignment-k agt sign-ref group-k ]
  [ report group-alignment-all agt sign-ref ]
end 

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;; EXPORT CSV (par essai)
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

to csv-begin
  if not csv-export [ stop ]
  set csv-file (word csv-basename "-" try ".csv")
  file-close-all
  if file-exists? csv-file [ file-delete csv-file ]
  file-open csv-file
  set csv-open? true
  ;; En-tête standardisé
  file-print "try,iter,tick,left_pct,right_pct,avg_opinion,med_op_right,med_op_left,med_prev_right,med_prev_left,med_infl_right,med_infl_left,links_remove,links_create,inversion_pct,change,total,fractale,major"
end 

to csv-row
  if not csv-open? [ stop ]
  let avg-opinion     mean [opinion] of turtles
  let opR             safe-median (turtles with [opinion >= 0]) "opinion"
  let opL             safe-median (turtles with [opinion < 0])  "opinion"
  let prevR           (safe-median (turtles with [opinion >= 0]) "prevalence") / 100
  let prevL           (safe-median (turtles with [opinion < 0])  "prevalence") / 100
  let inflR           safe-median (turtles with [opinion >= 0]) "influence"
  let inflL           safe-median (turtles with [opinion < 0])  "influence"
  let leftpct         (count turtles with [opinion < 0])  / (pop / 100)
  let rightpct        (count turtles with [opinion >= 0]) / (pop / 100)
  file-print (word try "," iter "," ticks ","
              leftpct "," rightpct "," avg-opinion ","
              opR "," opL "," prevR "," prevL ","
              inflR "," inflL ","
              links-dead "," links-create ","
              inversion "," change "," total "," fractale "," major)
end 

to csv-end
  if csv-open? [
    file-close
    set csv-open? false
  ]
end