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;; Citation Agents
;; This version (C) Christopher J Watts, 2011
;; Based on the work described in Watts, CJ & GN Gilbert (forthcoming)
;; "Simulating the impact of cumulative advantage on scientific performance", Scientometrics.
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extensions [array]

globals [
  
  num-papers-to-date
  num-pubs-to-date
  num-new-authors
  num-authors-to-date
  
  y-papers ; Array of paper lists for each year
  y-num-papers ; Array of # papers for each year
  y-pubs ; Array of publication lists for each year
  y-num-pubs ; Array of # publications for each year
  y-num-authors ; Array of # new authors for each year
  y-cites-frompapers ; Array of # citations received from papers
  y-cites-frompubs ; Array of # citations received from pubs
  y-max-fitness ; Array of max-fitness value at each year
  y-mean-fitness ; Array of mean-fitness value at each year
  
  authrecency-pdf ; Pre-calculated probability density function, used for recency of papers when selecting authors
  refrecency-pdf ; Pre-calculated probability density function, used for recency of papers when selecting references
  peerrecency-pdf ; Pre-calculated probability density function, used for recency of papers when selecting peer reviewers
  
  weights ; Used variously for stratified sampling
  
  ; Frequency distributions
  applist
  apjlist
  ppalist
  jpalist
  rpplist
  rpjlist
  cpplist
  jcpjlist
  jamlist
  jcmlist
  
  mean-fitness
  max-fitness
  initial-mean-fitness
  initial-max-fitness
  
  input-sets
  fitness-tables
]

breed [papers paper]
breed [authors author]
directed-link-breed [wlinks wlink] ; x Wrote y
directed-link-breed [alinks alink] ; y Authored by x
directed-link-breed [rlinks rlink] ; x Refers to y
directed-link-breed [clinks clink] ; y Cited by x
undirected-link-breed [coalinks coalink] ; x and y are coauthors
undirected-link-breed [shalinks shalink] ; x and y share authors
undirected-link-breed [cocitlinks cocitlink] ; x and y cite the same source.

papers-own [
  pdate
  first-author
  contents
  fitness
  status ; 0 for founding papers; 1 for unpublished papers; 2 for papers published in journal
]

authors-own [
  beliefs
  fitness
]


;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to setup
  clear-all
  ask patches [ set pcolor white ]
  
  ; Pre-calculate probability density functions for speed
  set authrecency-pdf array:from-list n-values (time-steps + 1) [0]
  calc-pdf authrecency-pdf authrecency-p1 authrecency-p2
  set refrecency-pdf array:from-list n-values (time-steps + 1) [0]
  calc-pdf refrecency-pdf refrecency-p1 refrecency-p2
  set peerrecency-pdf array:from-list n-values (time-steps + 1) [0]
  calc-pdf peerrecency-pdf peerrecency-p1 peerrecency-p2
  
  ; Arrays by Year
  set weights array:from-list n-values (time-steps + 1) [0]
  set y-papers array:from-list n-values (time-steps + 1) [[]]
  set y-num-papers array:from-list n-values (time-steps + 1) [0]
  set y-pubs array:from-list n-values (time-steps + 1) [[]]
  set y-num-pubs array:from-list n-values (time-steps + 1) [0]
  set y-cites-frompapers array:from-list n-values (time-steps + 1) [0]
  set y-cites-frompubs array:from-list n-values (time-steps + 1) [0]
  set y-num-authors array:from-list n-values (time-steps + 1) [[]]
  set y-mean-fitness array:from-list n-values (time-steps + 1) [0]
  set y-max-fitness array:from-list n-values (time-steps + 1) [0]
  
  setup-nk
  setup-field
  
  update-plots
  
end

to setup-plots
  set-current-plot "New Papers"
  set-plot-x-range 1 (time-steps + 1)
  set-current-plot "Papers To Date"
  set-plot-x-range 1 (time-steps + 1)
  
  set-current-plot "New Authors"
  set-plot-x-range 1 (time-steps + 1)
  set-current-plot "Authors To Date"
  set-plot-x-range 1 (time-steps + 1)
end  

to go
  if ticks >= time-steps [stop]
  tick ; Founding papers treated as year 0; first volume of journal is year 1
  grow-field
  update-plots
  ;print ticks
  
  if ticks >= time-steps [
    calc-final-distributions
    draw-final-plots
    stop
  ]
  
end

to update-plots
  set-current-plot "New Papers"
  set-current-plot-pen "Papers"
  plotxy ticks (array:item y-num-papers ticks)
  set-current-plot-pen "Publications"
  plotxy ticks (array:item y-num-pubs ticks)
  
  set-current-plot "Papers To Date"
  set-current-plot-pen "Papers"
  plotxy ticks num-papers-to-date
  set-current-plot-pen "Publications"
  plotxy ticks num-pubs-to-date

  set-current-plot "Authors To Date"
  plotxy ticks num-authors-to-date

  set-current-plot "New Authors"
  plotxy ticks num-new-authors
  
  set-current-plot "Fitness"
  set-current-plot-pen "Max"
  plotxy ticks (max [fitness] of authors)
;  plotxy ticks max-fitness
  set-current-plot-pen "Mean"
  plotxy ticks (mean [fitness] of authors)
;  plotxy ticks mean-fitness
  
  set-current-plot "% of Papers Accepted"
  plotxy ticks ifelse-value ((array:item y-num-papers ticks) = 0) [0] [100 * (array:item y-num-pubs ticks) / (array:item y-num-papers ticks)]
end

to draw-final-plots
  ; Authors
  
  set-current-plot "Authors Per Paper"
  draw-pairs-list applist
  
  set-current-plot "Authors Per Publication"
  draw-pairs-list apjlist
  
  set-current-plot "Papers Per Author"
  draw-pairs-list ppalist
  
  set-current-plot "log-log (Papers Per Author)"
  draw-loglog-pairs-list ppalist
  
  set-current-plot "Publications Per Author"
  draw-pairs-list jpalist
  
  set-current-plot "log-log (Publications Per Author)"
  draw-loglog-pairs-list jpalist
  
  ; References
  
  set-current-plot "References Per Paper"
  draw-pairs-list rpplist
  
  set-current-plot "References Per Publication"
  draw-pairs-list rpjlist

  set-current-plot "Citations Per Paper"
  draw-pairs-list cpplist
  
  set-current-plot "log-log (Citations Per Paper)"
  draw-loglog-pairs-list cpplist
  
  set-current-plot "Citations Per Publication"
  draw-pairs-list jcpjlist
  
  set-current-plot "log-log (Citations Per Publication)"
  draw-loglog-pairs-list jcpjlist
  
  ; Citations Received by papers in each year
  set-current-plot "Citations Received"
  let cur-year 0
  repeat time-steps [
    plotxy cur-year sum [count my-out-clinks] of papers with [pdate = cur-year]
    set cur-year cur-year + 1
  ]
  
  ; Authorship time gaps
  let timegaps []  
  let cur-paper nobody
  ask papers with [pdate = ticks] [
    set cur-paper self
    ask out-alink-neighbors [
      ask out-wlink-neighbors [
        if (self != cur-paper) [
          set timegaps fput (ticks - pdate) timegaps
        ]
      ]
    ]
  ]
  ;set timegaps sort timegaps
  set-current-plot "Years since previous papers"
  set-plot-x-range 0 (1 + max timegaps) 
  histogram timegaps
  
  ; Citing-Cited time gaps
  set timegaps []  
  ask papers with [pdate = ticks] [
    ask out-rlink-neighbors [
      set timegaps fput (ticks - pdate) timegaps
    ]
  ]
  ;set timegaps sort timegaps
  set-current-plot "Citing-Cited Gap"
  if (0 < length timegaps) [set-plot-x-range 0 (1 + max timegaps) ]
  histogram timegaps
  
  ; Career span
  set timegaps []
  ask authors [
    set timegaps fput ((max [pdate] of out-wlink-neighbors) - (min [pdate] of out-wlink-neighbors)) timegaps
  ]
  set-current-plot "Career Span"
  set-plot-x-range 0 (1 + max timegaps) 
  histogram timegaps
  
end

to draw-pairs-list [pairs-list]
  foreach pairs-list [
    plotxy (first ?) (first but-first ?)
  ]
end

to draw-loglog-pairs-list [pairs-list]
  let curval 0
  let curfreq 0
  foreach pairs-list [
    set curval (first ?)
    if curval > 0 [
      set curfreq (first but-first ?)
      if curfreq > 0 [
        plotxy (log curval 10) (log curfreq 10)
      ]
    ]
  ]
end

to draw-loglog-histo [histolist]
  let freq 1
  let curval first histolist
  set histolist but-first histolist
  while [0 < length histolist] [
    ifelse curval = first histolist [
      set freq freq + 1
    ]
    [
      if curval > 0 [plotxy (log curval 10) (log freq 10)]
      set freq 1
      set curval first histolist
    ]
    set histolist but-first histolist
  ]
  plotxy (log curval 10) (log freq 10)  
end  

to print-histo [histolist]
  let freq 1
  let curval first histolist
  set histolist but-first histolist
  while [0 < length histolist] [
    ifelse curval = first histolist [
      set freq freq + 1
    ]
    [
      print (word curval ", " freq )
      set freq 1
      set curval first histolist
    ]
    set histolist but-first histolist
  ]
  print (word curval ", " freq )
end

to-report freq-distribution [histolist]
  let freqd []
  let freq 1
  if 0 < length histolist [
    let curval first histolist
    set histolist but-first histolist
    while [0 < length histolist] [
      ifelse curval = first histolist [
        set freq freq + 1
      ]
      [
        set freqd fput (list curval freq) freqd
        set freq 1
        set curval first histolist
      ]
      set histolist but-first histolist
    ]
    set freqd fput (list curval freq) freqd
  ]
  report reverse freqd
end

to print-pairs-list [pairs-list]
  foreach pairs-list [
    print (word (first ?) ", " (first but-first ?) )
  ]
end

to calc-final-distributions
  ; Authors per Paper
  print ""
  let histolist [count out-alink-neighbors] of papers with [status > 0]
  set histolist sort histolist
  set applist freq-distribution histolist
  
  ; Authors per Pub
  print ""
  set histolist [count out-alink-neighbors] of papers with [status = 2]
  set histolist sort histolist
  set apjlist freq-distribution histolist
  
  ; Papers per Author
;  let histolist [count out-wlink-neighbors] of authors
  set histolist [count out-wlink-neighbors with [status > 0]] of authors
  set histolist sort histolist
  set ppalist freq-distribution histolist
  
  ; Pubs per Author
;  let histolist [count out-wlink-neighbors] of authors
  set histolist [count out-wlink-neighbors with [status = 2]] of authors
  set histolist sort histolist
  set jpalist freq-distribution histolist
  
  ; References per Paper
  set histolist [count out-rlink-neighbors] of papers with [status > 0]
  set histolist sort histolist
  set rpplist freq-distribution histolist
  
  ; References per Pub
  set histolist [count out-rlink-neighbors] of papers with [status = 2]
  set histolist sort histolist
  set rpjlist freq-distribution histolist
  
  ; Citations per Paper
  set histolist [count out-clink-neighbors with [status > 0]] of papers with [status > 0]
  set histolist sort histolist
  set cpplist freq-distribution histolist
  
  ; Citations per Pub
  set histolist [count out-clink-neighbors with [status = 2]] of papers with [status = 2]
  set histolist sort histolist
  set jcpjlist freq-distribution histolist
  
  ; Author Memory
  set histolist []
  let epdate 0
  let curyear-pubs (papers with [(status = 2) and (pdate = ticks)])
  ask papers with [status = 2] [
    set epdate pdate
    ask curyear-pubs [
      if (common-author self myself) [
        set histolist fput (ticks - epdate) histolist
      ]
    ]
  ]
  set histolist sort histolist
  set jamlist freq-distribution histolist
  
  ; Citation Memory
  set histolist []
  ask papers with [(status = 2) and (pdate = ticks)] [
    ask out-rlink-neighbors [
      set histolist fput (ticks - pdate) histolist
    ]
  ]
  set histolist sort histolist
  set jcmlist freq-distribution histolist
end

to print-final-distributions
  print "Authors Per Paper"
  print-pairs-list applist
  print ""
  print "Papers Per Author"
  print-pairs-list ppalist
  print ""
  print "Publications Per Author"
  print-pairs-list jpalist
  print ""
  print "References Per Paper"
  print-pairs-list rpplist
  print ""
  print "References Per Publication"
  print-pairs-list rpjlist
  print ""
  print "Citations Per Paper"
  print-pairs-list cpplist
  print ""
  print "Citations Per Publication"
  print-pairs-list jcpjlist
  print ""
  print "Author Memory"
  print-pairs-list jamlist
  print ""
  print "Citation Memory"
  print-pairs-list jcmlist
  print ""
end

to-report common-author [ego alter]
  report (0 < ([count out-alink-neighbors with [out-wlink-neighbor? alter]] of ego))
end
      
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to setup-field
  let new-papers []
  let cur-paper nobody
  set num-new-authors 0
  set mean-fitness 0
  
  repeat foundational-papers [
    create-papers 1 [
      setxy (ticks * max-pxcor / time-steps) random-ycor
      set hidden? hide-papers
      set color blue
      set pdate 0
      set status 0
      set contents array:from-list n-values contents-size [random 2]
      calc-paper-fitness
      set new-papers fput self new-papers
      set cur-paper self
    ]
    
    create-authors 1 [
      set hidden? hide-authors
      set shape "person"
      setxy ([xcor] of cur-paper) ([ycor] of cur-paper)
      set color yellow
      set beliefs (array:from-list (array:to-list [contents] of cur-paper))
      calc-agent-fitness
      set num-new-authors num-new-authors + 1
      write-paper cur-paper
      ask cur-paper [set first-author myself]
    ]
  ]
  
  array:set y-papers ticks new-papers
  array:set y-num-papers ticks (length new-papers)
  array:set y-pubs ticks new-papers ; Founding papers are automatically published.
  array:set y-num-pubs ticks (length new-papers)
  array:set y-num-authors ticks num-new-authors
  
  set num-papers-to-date 0 ; Excludes founding papers
  set num-pubs-to-date 0
  set num-authors-to-date 0
  set max-fitness max [fitness] of papers
  set mean-fitness mean [fitness] of papers
  
end

to grow-field
  let new-papers []
  let new-pubs []
  let cur-paper nobody
  set num-new-authors 0
  set mean-fitness 0
  
  repeat (first-year-papers * (field-growth ^ (ticks - 1))) [
    create-papers 1 [
      set hidden? hide-papers
      setxy (ticks * max-pxcor / time-steps) random-ycor
      set color green
      set pdate ticks
      set status 1
      set new-papers fput self new-papers
      set cur-paper self
    ]
    
    ; Generate First Author
    ask generated-author cur-paper [
      write-paper cur-paper
      ask cur-paper [set first-author myself]
    ]
    ; Generate Coauthors
    repeat int (weibull-dist authorsperpaper-p1 authorsperpaper-p2) [
      ask generated-author cur-paper [
        if author-accepts ([first-author] of cur-paper) [
          write-paper cur-paper
        ]
      ]
    ]
    
    ; Generate References
    let refpaper nobody
    repeat int (weibull-dist refsperpaper-p1 refsperpaper-p2) [
      set refpaper (generated-reference cur-paper)
      if refpaper != nobody [
        ask refpaper [
          if ref-similarity <= (author-paper-similarity ([first-author] of cur-paper) self) [ 
            cite-paper cur-paper
          ]
        ]
      ]
    ]
    
    ; Generate Contents
    let cur-bit 0
    ask cur-paper [
      let num-sources (count out-alink-neighbors) + (count out-rlink-neighbors)
      set contents array:from-list n-values contents-size [0]
      repeat contents-size [
        ifelse random-float 1 < chance-bit-innovative [
          array:set contents cur-bit (random 2)
        ]
        [
          ifelse (random num-sources) < (count out-alink-neighbors) [
            array:set contents cur-bit ([array:item beliefs cur-bit] of one-of out-alink-neighbors)
          ]
          [
            array:set contents cur-bit ([array:item contents cur-bit] of one-of out-rlink-neighbors)
          ]
        ]
        set cur-bit cur-bit + 1
      ]
    ]
    
    ; Calculate fitness
    ; Authors have option of copying superior contents
    ask cur-paper [
      calc-paper-fitness
      let cur-fitness fitness
      ask out-alink-neighbors [
        if fitness <= cur-fitness [
          set cur-bit 0
          repeat contents-size [
            array:set beliefs cur-bit ([array:item contents cur-bit] of myself)
            set cur-bit cur-bit + 1
          ]
          calc-agent-fitness
        ]
      ]
      if fitness > max-fitness [set max-fitness fitness]
      set mean-fitness mean-fitness + fitness
    ]
    
    ; Publish?
    ask cur-paper [
      if publishable [
        set status 2
        set color magenta
        set new-pubs fput self new-pubs
      ]
    ]
    
  ]
  array:set y-papers ticks new-papers
  array:set y-num-papers ticks (length new-papers)
  set num-papers-to-date num-papers-to-date + (length new-papers)
  
  set num-authors-to-date num-authors-to-date + num-new-authors
  array:set y-num-authors ticks num-new-authors
  
  if (length new-papers) > 0 [ set mean-fitness (mean-fitness / (length new-papers))]
  array:set y-mean-fitness ticks mean-fitness
  array:set y-max-fitness ticks max-fitness
  
  array:set y-pubs ticks new-pubs
  array:set y-num-pubs ticks (length new-pubs)
  set num-pubs-to-date num-pubs-to-date + (length new-pubs)
  
  ; Update citations received by year
  foreach new-papers [
    ask ? [
      ifelse status = 2 [
        ask out-rlink-neighbors [
          array:set y-cites-frompapers pdate (1 + array:item y-cites-frompapers pdate)
          array:set y-cites-frompubs pdate (1 + array:item y-cites-frompubs pdate)
        ]
      ]
      [
        ask out-rlink-neighbors [
          array:set y-cites-frompapers pdate (1 + array:item y-cites-frompapers pdate)
        ]
      ]
    ]
  ]
end

to write-paper [given-paper]
  create-wlink-to given-paper [
    set color red
    set hidden? hide-wlinks]
  create-alink-from given-paper [
    set color yellow
    set hidden? hide-alinks]
end

to cite-paper [given-paper]
  create-clink-to given-paper [
    set color pink
    set hidden? hide-clinks]
  create-rlink-from given-paper [
    set color sky
    set hidden? hide-rlinks]
end

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to-report weibull-dist [alpha beta]
;      FndblRnd_Weibull = pdblBeta * ((-Log(1 - grnsSim.genrand_real2b)) ^ (1 / pdblAlpha))
  report beta * ((0 - ln (1 - random-float 1)) ^ (1 / alpha))
end

to calc-pdf [given-pdf param1 param2]
  ; Recency of papers, when selecting authors
  let prevval 0
  let curval 0
  let x 0
  repeat (time-steps + 1) [
    ; Weibull distributed
    set curval 1 - exp (0 - (((x + 1) / param2) ^ param1))
    array:set given-pdf x (curval - prevval)
    set prevval curval
    set x x + 1
  ]
  
end

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Authorship

to-report generated-author [given-paper]
  let cur-author nobody
  let selpaper nobody
  ifelse (random-float 1) < chance-new-to-field [
    ; New author
    create-authors 1 [
      set hidden? hide-authors
      set shape "person"
      setxy ([xcor] of given-paper) ([ycor] of given-paper)
      set color red
      set beliefs array:from-list n-values contents-size [random 2]
      set fitness 0
      set cur-author self
      set num-new-authors num-new-authors + 1
    ]
    ;print cur-author
    report cur-author
  ]
  [
    ; Select an existing author
    if selecting-authors-method = "From recent paper" [
      report  ([one-of out-alink-neighbors] of (recent-paper authrecency-pdf))
    ]
    if selecting-authors-method = "From recently cited paper" [
      set selpaper (recent-paper authrecency-pdf)
      if 0 = [count out-rlink-neighbors] of selpaper [ report [one-of out-alink-neighbors] of selpaper ]
      report ([one-of out-alink-neighbors] of ([one-of out-rlink-neighbors] of selpaper))
    ]
    if selecting-authors-method = "Any author" [
      report one-of authors
    ]
    if selecting-authors-method = "From recent publication" [
      report  ([one-of out-alink-neighbors] of (recent-pub authrecency-pdf))
    ]
    if selecting-authors-method = "From recently cited publication" [
      set selpaper (recent-pub authrecency-pdf)
      if 0 = [count out-rlink-neighbors] of selpaper [ report [one-of out-alink-neighbors] of selpaper ]
;      if (random-float 1) < (1 / (1 + [count out-rlink-neighbors] of selpaper)) [ report [one-of out-alink-neighbors] of selpaper ]
      report ([one-of out-alink-neighbors] of ([one-of out-rlink-neighbors] of selpaper))
    ]
  ]
end

to-report recent-paper [weighting-pdf]
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year)) * (array:item y-num-papers year)
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  set weightsum weightsum + array:item weights year
  let chosenitem (int (weightsum / (array:item weighting-pdf (ticks - 1 - year))))
  report item chosenitem (array:item y-papers year)
end

to-report recent-pub [weighting-pdf]
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year)) * (array:item y-num-pubs year)
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  set weightsum weightsum + array:item weights year
  let chosenitem (int (weightsum / (array:item weighting-pdf (ticks - 1 - year))))
  report item chosenitem (array:item y-pubs year)
end

to-report recently-cited-paper [weighting-pdf]
  let selpaper (recent-paper refrecency-pdf)
  if selpaper = nobody [report nobody]
  let numrefs ([count out-rlink-neighbors] of selpaper)
;    ifelse (random-float 1) < (chance-use-paper-not-ref + (1 / (numrefs + 1))) [
  ifelse (random-float 1) < (chance-use-paper-not-ref) [
    report selpaper
  ]
  [
    if (0 = numrefs) [report selpaper]
    report (one-of [out-rlink-neighbors] of selpaper)
  ]
end

to-report recently-cited-pub [weighting-pdf]
  let selpaper (recent-pub refrecency-pdf)
  if selpaper = nobody [report nobody]
  let numrefs ([count out-rlink-neighbors] of selpaper)
;    ifelse (random-float 1) < (chance-use-paper-not-ref + (1 / (numrefs + 1))) [
  ifelse (random-float 1) < (chance-use-paper-not-ref) [
    report selpaper
  ]
  [
    if (0 = numrefs) [report selpaper]
    report (one-of [out-rlink-neighbors] of selpaper)
  ]
end

to-report cited-and-recent-paper [weighting-pdf]
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year)) * ((array:item y-num-papers year) + (array:item y-cites-frompapers year))
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  set weightsum weightsum + array:item weights year
  set weightsum (weightsum / (array:item weighting-pdf (ticks - 1 - year)))
  let citeslist array:item y-papers year
  if 0 = length citeslist [report nobody]
  let chosenitem first citeslist
  set weightsum weightsum - 1 - [count my-out-clinks] of chosenitem
  while [weightsum >= 0] [
    set citeslist but-first citeslist
    set chosenitem first citeslist
    set weightsum weightsum - 1 - [count my-out-clinks] of chosenitem
  ]
  report chosenitem
end

to-report cited-and-recent-pub [weighting-pdf]
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year)) * ((array:item y-num-pubs year) + (array:item y-cites-frompubs year))
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  set weightsum weightsum + array:item weights year
  set weightsum (weightsum / (array:item weighting-pdf (ticks - 1 - year)))
  let citeslist array:item y-pubs year
  if 0 = length citeslist [report nobody]
  let chosenitem first citeslist
  set weightsum weightsum - 1 - [count my-out-clinks] of chosenitem
  while [weightsum >= 0] [
    set citeslist but-first citeslist
    set chosenitem first citeslist
    set weightsum weightsum - 1 - [count my-out-clinks] of chosenitem
  ]
  report chosenitem
end

to-report recent-year-paper [weighting-pdf]
  ; Picks a recent year, then returns a paper from it (if one exists)
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year))
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  report ifelse-value (0 = (array:item y-num-papers year)) [nobody] [one-of array:item y-papers year]
end

to-report recent-year-pub [weighting-pdf]
  ; Picks a recent year, then returns a pub from it (if one exists)
  let weightsum 0
  let weight 0
  let year 0
  repeat ticks [
    set weight (array:item weighting-pdf (ticks - 1 - year))
    array:set weights year weight
    set weightsum weightsum + weight
    set year year + 1
  ]
  
  if weightsum = 0 [report nobody]
  set weightsum random-float weightsum
  
  set year -1
  while [weightsum >= 0] [
    set year year + 1
    set weightsum weightsum - array:item weights year
  ]
  report ifelse-value (0 = (array:item y-num-pubs year)) [nobody] [one-of array:item y-pubs year]
end

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
to-report author-accepts [given-author]
  report (self != given-author) and (auth-similarity <= authors-similarity self given-author)
end

to-report authors-similarity [ego alter]
  report sum (map [ifelse-value (?1 = ?2) [1] [0]] (array:to-list [beliefs] of ego) (array:to-list [beliefs] of alter))
end

to-report author-paper-similarity [given-author given-paper]
  report sum (map [ifelse-value (?1 = ?2) [1] [0]] (array:to-list [beliefs] of given-author) (array:to-list [contents] of given-paper)) 
end

to-report papers-similarity [ego alter]
  report sum (map [ifelse-value (?1 = ?2) [1] [0]] (array:to-list [contents] of ego) (array:to-list [contents] of alter)) 
end
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Reference

to-report generated-reference [given-paper]
  let selpaper nobody
  let numrefs 0
  if selecting-references-method = "Recent paper" [
    report (recent-paper refrecency-pdf)
  ]
  if selecting-references-method = "Copy reference in recent paper" [
    report recently-cited-paper refrecency-pdf
  ]
  if selecting-references-method = "Any past paper" [
    report one-of papers with [pdate < ticks]
  ]
  if selecting-references-method = "Recent and cited paper" [
    report (cited-and-recent-paper refrecency-pdf)
  ]
  if selecting-references-method = "Recent publication" [
    report (recent-pub refrecency-pdf)
  ]
  if selecting-references-method = "Copy reference in recent publication" [
    report (recently-cited-pub refrecency-pdf)
  ]
  if selecting-references-method = "Any past publication" [
    report one-of papers with [(pdate < ticks) and (status = 2)]
  ]
  if selecting-references-method = "Recent and cited publication" [
    report (cited-and-recent-pub refrecency-pdf)
  ]
  if selecting-references-method = "Paper from recent year" [
    report recent-year-paper refrecency-pdf
  ]
  if selecting-references-method = "Publication from recent year" [
    report recent-year-pub refrecency-pdf
  ]
end

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Peer Review
to-report generated-peer
  let selpaper nobody
  ; Select an existing author
  if selecting-peer-reviewers-method = "From recent paper" [
    report  ([one-of out-alink-neighbors] of (recent-paper peerrecency-pdf))
  ]
  if selecting-peer-reviewers-method = "From recently cited paper" [
    set selpaper (recent-paper peerrecency-pdf)
    if 0 = [count out-rlink-neighbors] of selpaper [ report [one-of out-alink-neighbors] of selpaper ]
    report ([one-of out-alink-neighbors] of ([one-of out-rlink-neighbors] of selpaper))
  ]
  if selecting-peer-reviewers-method = "From recent publication" [
    report  ([one-of out-alink-neighbors] of (recent-pub peerrecency-pdf))
  ]
  if selecting-peer-reviewers-method = "From recently cited publication" [
    set selpaper (recent-pub peerrecency-pdf)
    if 0 = [count out-rlink-neighbors] of selpaper [ report [one-of out-alink-neighbors] of selpaper ]
    report ([one-of out-alink-neighbors] of ([one-of out-rlink-neighbors] of selpaper))
  ]
  if selecting-peer-reviewers-method = "Any author" [
    report one-of authors
  ]
end

to-report publishable
;  print (word "Reviewing paper " who)
  let selpeer nobody
  let acceptible true
  
  ; Distinct from reference papers
  ask out-rlink-neighbors [
    if acceptible [ 
      set acceptible (contents-size > papers-similarity self myself)
    ]
  ]
  
  if acceptible [
    let simil 0
    let num-accepts 0
    repeat reviewer-attempts [
      set acceptible true
      set selpeer generated-peer
      if acceptible [
        set acceptible not (out-alink-neighbor? selpeer) ] ; Reviewer not an author of this paper
      if acceptible [
        set simil (author-paper-similarity selpeer self)
        set acceptible ((contents-size > simil) and (peer-similarity <= simil)) ; Paper original and intelligible to reviewer
      ]
      if acceptible [
        set acceptible (fitness >= [fitness] of selpeer)] ; Reviewer doesn't know better
      if acceptible [set num-accepts num-accepts + 1]
    ]
    set acceptible (num-accepts >= reviews-required)
  ]
  report acceptible
end


;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Drawing Networks

to relocate-papers-spring
  repeat 10 [layout-spring papers cocitlinks 1 1 1 ]
end

to relocate-authors-spring
  repeat 10 [layout-spring authors coalinks 1 1 1 ]
end

to relocate-all-visible-spring
  let v-agents turtles with [not hidden?]
  let v-links links with [not hidden?]
  repeat 10 [layout-spring v-agents v-links 1 1 1 ]
end

to draw-coauthorship-links
  let ego nobody
  ask authors [
    set ego self
    ask out-wlink-neighbors [
      ask out-alink-neighbors [
        if self != ego [create-coalink-with ego [
            set hidden? hide-coauthlinks
            set color blue]]
      ]
    ]
  ]
end

to draw-cocitation-links
  let ego nobody
  ask papers [
    set ego self
    ask out-rlink-neighbors [
      ask out-clink-neighbors [
        if self != ego [create-cocitlink-with ego [
            set hidden? hide-cocitlinks
            set color cyan]]
      ]
    ]
  ]
end

to draw-sharing-links
  let ego nobody
  ask papers [
    set ego self
    ask out-alink-neighbors [
      ask out-wlink-neighbors [
        if self != ego [create-shalink-with ego [set color orange]]
      ]
    ]
  ]
end

to toggle-foundations
  ask papers with [status = 0] [set hidden? not hidden? ]
end

to toggle-set [given-set]
  ask given-set [set hidden? not hidden? ]
end

to toggle-linkset [given-linkset]
  ask given-linkset [set hidden? not hidden? ]
end

to toggle-isolates-coalinks
  ask authors with [0 = count coalink-neighbors] [set hidden? not hidden? ]
end

to toggle-isolates-cocitlinks
  ask papers with [0 = count cocitlink-neighbors] [set hidden? not hidden? ]
end

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
; Fitness function: Kauffman's NK landscapes
to setup-NK
  ; Define input nodes for each node
  set input-sets array:from-list n-values contents-size [array:from-list n-values (interdependencies + 1) [random (contents-size - 1)]]
  let cur-node 0
  let cur-input 0
  let input-set array:from-list n-values (interdependencies + 1) [0]
  repeat contents-size [
    set input-set array:item input-sets cur-node
    set cur-input 0
    array:set input-set 0 cur-node ; Each node is an input to itself
    repeat interdependencies [ ; Each node has K inputs which are not itself
      set cur-input cur-input + 1
      if (array:item input-set cur-input) >= cur-node [array:set input-set cur-input ((array:item input-set cur-input) + 1)]
    ]
    set cur-node cur-node + 1
  ]
  
  ; Define fitness table for each node
  set fitness-tables array:from-list n-values contents-size [array:from-list n-values (2 ^ (interdependencies + 1)) [random-float 1]]
end

to calc-agent-fitness
  if fitness-method ="NK Fitness" [
    let fitness-sum 0
    let cur-node 0
    repeat contents-size [
      set fitness-sum fitness-sum + 
      array:item (array:item fitness-tables cur-node) (sum n-values (interdependencies + 1) [(array:item beliefs (array:item (array:item input-sets cur-node) ?)) * (2 ^ ?)])
      set cur-node cur-node + 1
    ]
    set fitness (fitness-sum / contents-size)
    ;set fitness ((fitness-sum / contents-size) / base-max-fitness) ^ 8 ; Lazer & Friedman's definition
    stop
  ]
  set fitness 1
end

to calc-paper-fitness
  if fitness-method ="NK Fitness" [
    let fitness-sum 0
    let cur-node 0
    repeat contents-size [
      set fitness-sum fitness-sum + 
      array:item (array:item fitness-tables cur-node) (sum n-values (interdependencies + 1) [(array:item contents (array:item (array:item input-sets cur-node) ?)) * (2 ^ ?)])
      set cur-node cur-node + 1
    ]
    set fitness (fitness-sum / contents-size)
    ;set fitness ((fitness-sum / contents-size) / base-max-fitness) ^ 8 ; Lazer & Friedman's definition
    stop
  ]
  set fitness 1
end
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;


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BUTTON
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BUTTON
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BUTTON
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OBSERVER
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BUTTON
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NIL
1
T
OBSERVER
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NIL
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BUTTON
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print-final-distributions
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL

PLOT
1105
163
1305
313
Years since previous papers
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Frequency
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PENS
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313
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PLOT
1308
471
1508
621
Citing-Cited Gap
# Years
Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

PLOT
1308
317
1508
467
Citations Received
Year
# Received
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

CHOOSER
7
868
145
913
Fitness-Method
Fitness-Method
"Return 1" "NK Fitness"
1

PLOT
1154
625
1354
775
% of Papers Accepted
Year
%
0.0
10.0
0.0
100.0
true
false
PENS
"default" 1.0 0 -16777216 true

BUTTON
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726
882
759
Unpublished On/Off
toggle-set papers with [status < 2]
NIL
1
T
OBSERVER
NIL
NIL
NIL
NIL

PLOT
1511
317
1711
467
Authors Per Publication
# Authors
Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

PLOT
1511
471
1711
621
References Per Publication
# References
Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

PLOT
1714
317
1914
467
Publications Per Author
# Papers
Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

PLOT
1714
471
1914
621
Citations Per Publication
# Citations
Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 1 -16777216 true

PLOT
1917
317
2117
467
log-log (Publications Per Author)
log Publications
log Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 2 -16777216 true

PLOT
1917
471
2117
621
log-log (Citations Per Publication)
log Citations
log Frequency
0.0
1.0
0.0
1.0
true
false
PENS
"default" 1.0 2 -16777216 true

MONITOR
699
10
789
55
# Papers
num-papers-to-date\n
17
1
11

MONITOR
699
57
789
102
# Publications
num-pubs-to-date\n
17
1
11

MONITOR
699
104
789
149
# Authors
num-authors-to-date\n
17
1
11

MONITOR
791
10
869
55
Best fitness
max-fitness
3
1
11

@#$#@#$#@
WHAT IS IT?
-----------
Citation Agents: A Simulation of Scientific Publication and Collective Searching.
(C) Christopher J Watts, 2011

Based on:
Watts, CJ & GN Gilbert (forthcoming) "Does cumulative advantage affect collective learning in science? An agent-based simulation", Scientometrics.

Simulates the production of academic papers in some scientific field. Papers have contents and a quality or "fitness value", and peer review can lead to some of them becoming journal "publications". Model combines ideas from scientometrics, stochastic process models, science models and simulations of organisational learning.

HOW IT WORKS
------------
Each time tick, a number of papers are generated. Each paper has authors, references to previous papers (if any), contents, a fitness value for its contents, and peer reviewers. 
For generating authors and references, various methods are available, including sampling from a recent paper or publication, and sampling from the referenced papers in a recent paper or publication.

Each author has beliefs, again with a fitness value.

For generating paper contents, we sample bit strings from either a bernoulli process (representing innovation, information entering from outside the field), or the beliefs of the authors and the contents of reference papers.

Peer reviewers decide whether or not the paper can become a publication. For this they consider its originality, similarity to their own beliefs, and fitness value relative to their own.

HOW TO USE IT
-------------
Click "Setup". Click "Go". Charts will update automatically.

BehaviorSpace contains several experiments generating distributions and fitness performance.

Distributions can be output if the "Print Distributions" button is clicked. These can then be copy-pasted into other programs (e.g. Excel).

A drop-down box determines whether papers' all have the same quality or "fitness value" (equal to 1) or a value derived from their contents as a position on a fitness landscape. If using the latter, peer review will mean that not all "papers" become "publications". Sampling processes used for generating authors, references and peer reviewers can be based on either "papers" or "publications".

Buttons exist for revealing the papers, authors, and the links between them, and also for creating coauthorship links between authors and cocitation links between papers. By default turtles and their links are hidden when created. Drawing thousands of links takes time - NetLogo may slow down badly. When learning what the "on/off" buttons do, we recommend you start with a small field (# papers < 100). The easiest way to achieve this is probably to reduce the number of time steps.

THINGS TO NOTICE
----------------
Depending on the parameters, you should be able to see:
exponential growth in the field in terms of numbers of papers and authors;
scale-free distributions of papers per author and citations per paper.

THINGS TO TRY
-------------
Fit distributions derived from real bibliometric data - e.g. download from ISI Web of Science. See the paper by Watts & Gilbert for an example.

Experiments:
Explore the sensitivity to the various parameters and options.
Find the best balance between exploring and exploiting - i.e. searching widely over the possible contents and searching locally around known contents.

EXTENDING THE MODEL
-------------------
More plausible landscape?
Better representation of the world outside the journal? (i.e. alternatives to foundational papers; authors and references to papers from outside the journal, or outside the field; more innovation during contents generation)
Better representation of peer review processes
Constraint networks: limits on who can co-author with whom, and who can cite whom. E.g. geography, language, institution, social networks.


NETLOGO FEATURES
----------------
Various. Simulation model was originally developed over a period of several weeks in Excel 2003 with VBA. The NetLogo version was developed in days, is far shorter, much faster (especially at larger scales), and comes with the ability to visualise networks.

RELATED MODELS
--------------
Simon, 1955
Gilbert's model of Academic Science Structure (Gilbert, 1997)
The "Topics, Aging & Recursive Learning" (TARL) model (Boerner et al, 2004)
Lazer & Friedman (2007)
Bentley, Ormerod & Batty (2009)

CREDITS AND REFERENCES
----------------------
Watts, CJ & GN Gilbert (forthcoming) "Does cumulative advantage affect collective learning in science? An agent-based simulation", Scientometrics.

Bentley, R. A., Ormerod, P., Batty, M. (2009) "An evolutionary model of long tailed distributions in the social sciences". arXiv:0903.2533v1 [physics.soc-ph] 14 Mar 2009 http://arxiv.org/PS_cache/arxiv/pdf/0903/0903.2533v1.pdf . Accessed 1 May 2010.

Boerner, K., Maru, J. T., Goldstone, R. L. (2004) "The simultaneous evolution of author and paper networks". Proceedings of the National Academy of Science USA, 101(suppl. 1), S266-S273.

Gilbert, N. (1997) "A Simulation of the Structure of Academic Science". Sociological Research Online, 2(2)3, http://www.socresonline.org.uk/socresonline/2/2/3.html .

Lazer, D., & Friedman, A. (2007) "The Network Structure of Exploration and Exploitation". Administrative Science Quarterly, 52, 667-694.

Kauffman, S. (1993) "The Origins of Order: Self-Organization and Selection in Evolution". New York: Oxford University Press.
Kauffman, S. (1995) "At Home in the Universe: The Search for Laws of Complexity". London: Penguin.

Price, D. D. S. (1976) "A General Theory of Bibliometric and Other Cumulative Advantage Processes". Journal of the American Society for Information Science, 27(Sep.-Oct.), 292-306.

Simon, H. A. (1955) "On a Class of Skew Distribution Functions". Biometrika, 42(3/4), 425-440.
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@#$#@#$#@
NetLogo 4.1
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
<experiments>
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    <setup>setup</setup>
    <go>go</go>
    <metric>timer</metric>
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    <metric>max-fitness</metric>
    <metric>num-papers-to-date</metric>
    <metric>num-pubs-to-date</metric>
    <metric>num-authors-to-date</metric>
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    <enumeratedValueSet variable="Hide-coauthlinks">
      <value value="true"/>
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    <enumeratedValueSet variable="Ref-Similarity">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefsPerPaper-P2">
      <value value="4.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="PeerRecency-P1">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefsPerPaper-P1">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-alinks">
      <value value="true"/>
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    <enumeratedValueSet variable="Chance-Bit-Innovative">
      <value value="0.01"/>
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    <enumeratedValueSet variable="Hide-cocitlinks">
      <value value="true"/>
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    <enumeratedValueSet variable="Reviewer-Attempts">
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    <enumeratedValueSet variable="AuthRecency-P1">
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    <enumeratedValueSet variable="Interdependencies">
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    <enumeratedValueSet variable="RefRecency-P2">
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      <value value="&quot;NK Fitness&quot;"/>
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    <enumeratedValueSet variable="RefRecency-P1">
      <value value="1.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Auth-Similarity">
      <value value="0"/>
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    <enumeratedValueSet variable="Foundational-Papers">
      <value value="14"/>
    </enumeratedValueSet>
  </experiment>
  <experiment name="experiment-Distributions-NK" repetitions="20" runMetricsEveryStep="false">
    <setup>setup</setup>
    <go>go</go>
    <metric>timer</metric>
    <metric>ticks</metric>
    <metric>num-papers-to-date</metric>
    <metric>num-pubs-to-date</metric>
    <metric>num-authors-to-date</metric>
    <metric>max-fitness</metric>
    <metric>array:to-list y-num-papers</metric>
    <metric>array:to-list y-num-pubs</metric>
    <metric>array:to-list y-num-authors</metric>
    <metric>array:to-list y-cites-frompapers</metric>
    <metric>array:to-list y-cites-frompubs</metric>
    <metric>array:to-list y-mean-fitness</metric>
    <metric>array:to-list y-max-fitness</metric>
    <metric>applist</metric>
    <metric>apjlist</metric>
    <metric>ppalist</metric>
    <metric>jpalist</metric>
    <metric>rpplist</metric>
    <metric>rpjlist</metric>
    <metric>cpplist</metric>
    <metric>jcpjlist</metric>
    <metric>jamlist</metric>
    <metric>jcmlist</metric>
    <enumeratedValueSet variable="Peer-Similarity">
      <value value="0"/>
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    <enumeratedValueSet variable="Interdependencies">
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    <enumeratedValueSet variable="Hide-Papers">
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    <enumeratedValueSet variable="Selecting-Peer-Reviewers-Method">
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    <enumeratedValueSet variable="AuthorsPerPaper-P1">
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    <enumeratedValueSet variable="Selecting-References-Method">
      <value value="&quot;Copy reference in recent publication&quot;"/>
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    <enumeratedValueSet variable="Chance-New-To-Field">
      <value value="0.6"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-clinks">
      <value value="true"/>
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    <enumeratedValueSet variable="Ref-Similarity">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Chance-Bit-Innovative">
      <value value="0.01"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="AuthRecency-P2">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Time-Steps">
      <value value="30"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefRecency-P1">
      <value value="1.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Reviews-Required">
      <value value="3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefRecency-P2">
      <value value="2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefsPerPaper-P2">
      <value value="4.2"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="AuthRecency-P1">
      <value value="1.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="RefsPerPaper-P1">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="PeerRecency-P2">
      <value value="4"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Selecting-Authors-Method">
      <value value="&quot;From recently cited publication&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Contents-Size">
      <value value="20"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Reviewer-Attempts">
      <value value="9"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Fitness-Method">
      <value value="&quot;NK Fitness&quot;"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-Authors">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-coauthlinks">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-wlinks">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-cocitlinks">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="PeerRecency-P1">
      <value value="1"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-rlinks">
      <value value="true"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Field-Growth">
      <value value="1.067"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Chance-Use-Paper-Not-Ref">
      <value value="0.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="AuthorsPerPaper-P2">
      <value value="1.3"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Auth-Similarity">
      <value value="0"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="First-Year-Papers">
      <value value="16"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Foundational-Papers">
      <value value="14"/>
    </enumeratedValueSet>
    <enumeratedValueSet variable="Hide-alinks">
      <value value="true"/>
    </enumeratedValueSet>
  </experiment>
</experiments>
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