Voter dynamics in complex networks
Model was written in NetLogo 5.3.1
•
Viewed 827 times
•
Downloaded 31 times
•
Run 0 times
Do you have questions or comments about this model? Ask them here! (You'll first need to log in.)
Comments and Questions
Please start the discussion about this model!
(You'll first need to log in.)
Click to Run Model
globals [ average-path-length ;; average path length of the network average-path-length-of-lattice ;; average path length of the initial lattice cal ;; background colouring stuff clustering-coefficient ;; the clustering coefficient of the network; this is the ;; average of clustering coefficients of all turtles clustering-coefficient-of-lattice ;; the clustering coefficient of the initial lattice highlight-string ;; message that appears on the node properties monitor idea ;; number of active links infinity ;; a very large number ;; used to denote distance between two turtles which ;; don't have a connected or unconnected path between them network ;; records the kind of network that has been generated number-rewired ;; number of edges that have been rewired. used for plots partner2 ;; in B�rab�si-Albert network with degree 2, to compare the two ;; neighbours chosen and check they are not the same rewire-one? ;; these two variables record which button was last pushed rewire-all? tick? ;; if a node of degree 0 is chosen, there's no need to tick yrad ;; this three are used to measure the lattice rad nume ] turtles-own [ opinion ;; because colour might be lost when highlighting, another ;; magnitude is needed to save the nodes' opinion node-clustering-coefficient distance-from-other-turtles ;; list of distances of this node from other turtles ] links-own [ rewired? ;; keeps track of whether the link has been rewired or not ] ;;ALLOCATION OF OPINIONS, VOTING, HIGHLIGHTING AND MORE*************************** ;;******************************************************************************** ;;******************************************************************************** ;; called by set structure to wire ask links [ ifelse [color] of end1 = [color] of end2 ;; likns between equal nodes will take their colour, whereas those between different nodes are black, ;; and known as "active" [ set color [color] of end1 ] [ ask patch 0 0 [set cal pcolor] ifelse cal = black [set color white] [set color black] ] ] if structure = "random" [ ask turtles [ setxy random-xcor random-ycor ] ] if structure = "circle" [ layout-circle turtles (world-width / 2 - 1) ] if structure = "radial" [ layout-radial turtles links (turtle 0) ] if structure = "tutte" [ repeat 10 [ layout-tutte (turtles with [count link-neighbors <= 4]) links 12 ] ] do-plots do-plotting end ;; draw! is called by "set opinions" button and is also used to reset opinions to draw! reset-ticks set-current-plot "totals" clear-plot ask turtles [ let col random diversity-of-opinions ;; col is used to assign opinions with equal chances if col < 1 [ set opinion 1 set color red ] if (col > 0.9) and (col < 2) [ set opinion 2 set color blue ] if (col > 1.9) and (col < 3) [ set opinion 3 set color green ] if (col > 2.9) and (col < 4) [ set opinion 4 set color turquoise ] if (col > 3.9) and (col < 5) [ set opinion 5 set color brown ] if (col > 4.9) and (col < 6) [ set opinion 6 set color violet ] if (col > 5.9) and (col < 7) [ set opinion 7 set color orange ] ] wire end to color-who [a] ask turtle a [ if [opinion] of turtle a = 1 [ set color red ] if [opinion] of turtle a = 2 [ set color blue ] if [opinion] of turtle a = 3 [ set color green ] if [opinion] of turtle a = 4 [ set color turquoise ] if [opinion] of turtle a = 5 [ set color brown ] if [opinion] of turtle a = 6 [ set color violet ] if [opinion] of turtle a = 7 [ set color orange ] ] end to color-all ask turtles [ if [opinion] of turtle who = 1 [ set color red ] if [opinion] of turtle who = 2 [ set color blue ] if [opinion] of turtle who = 3 [ set color green ] if [opinion] of turtle who = 4 [ set color turquoise ] if [opinion] of turtle who = 5 [ set color brown ] if [opinion] of turtle who = 6 [ set color violet ] if [opinion] of turtle who = 7 [ set color orange ] ] end to reprint ;; this option will refresh link and node colours color-all ask links [ ifelse [color] of end1 = [color] of end2 [ set color [color] of end1 ] [ ask patch 0 0 [set cal pcolor] ifelse cal = black [set color white] [set color black] ] ] end to highlight ;; remove any previous highlights ask turtles [ set color gray ] ask links [ set color gray + 2 ] if mouse-inside? [ do-highlight ] display end to do-highlight ;; getting the node closest to the mouse let min-d min [distancexy mouse-xcor mouse-ycor] of turtles let a-turtle one-of turtles with [count link-neighbors > 0 and distancexy mouse-xcor mouse-ycor = min-d] if a-turtle != nobody [ ;; highlight the chosen node ask a-turtle [ color-who who ;; let pairs (length remove infinity distance-from-other-nodos) ;; let local-val (sum remove infinity distance-from-other-nodos) / pairs ;; show node's clustering coefficient ;; set highlight-string (word "clustering coefficient = " precision nodo-clustering-coefficient 3 ;; " and avg path length = " precision local-val 3 ;; " (for " pairs " nodos )") ] let neighbor-turtles [ link-neighbors ] of a-turtle ;let direct-links [ my-links ] of node ;; highlight neighbors ask neighbor-turtles [ color-who who ;; highlight edges connecting the chosen node to its neighbors ask my-links [ if (end1 = a-turtle or end2 = a-turtle) [ ifelse [opinion] of end1 = [opinion] of end2 [set color [color] of end1] [set color black] ; ] ; [ ; if (member? end1 neighbor-nodes and member? end2 neighbor-nodes) ;; activa triangulos cerrados, agregar else en el if anteriorc y descomentar ; [ set color yellow ] ; ] ] ] ] end ;; resize-nodes, change back and forth from size based on degree to a size of 1 to resize-nodes ifelse all? turtles [size <= 1] [ ;; a node is a circle with diameter determined by ;; the SIZE variable; using SQRT makes the circle's ;; area proportional to its degree ask turtles [ set size sqrt count link-neighbors ] ] [ ask turtles [ set size 1 ] ] end to vote go2 ;; go2 allows user to move nodes countactive if idea < 1 [stop] ;; stop when there are no active links left ask one-of turtles [ ;; chooses only a node with neighbours, otherwise there will be no tick ifelse any? link-neighbors [ ;; let is used so the colour and opinion adopted belong to the same node let node [who] of one-of link-neighbors set color [color] of turtle node set opinion [opinion] of turtle node set tick? 1 ] [set tick? 2] ] if tick? = 1 [ if reprint? [reprint] tick do-plots] end ;; to count active links even without colour to countactive set idea 0 ask links [ if [opinion] of end1 != [opinion] of end2 [ set idea (idea + 1) ] ] end ;; to move nodes while voting to go2 if mouse-down? [ ;; find the closest node let grabbed min-one-of turtles [distancexy mouse-xcor mouse-ycor] ;; loop until the mouse button is released while [mouse-down?] [ ask grabbed [ setxy mouse-xcor mouse-ycor ] display ] ] end ;;LATTICE SPECIFICATIONS********************************************************** ;;******************************************************************************** ;;******************************************************************************** to setup-Lattice clear-all ;; set network 4 set-default-shape turtles "circle" ask patches [ set pcolor white ] set rad 0 set yrad 0 ifelse side mod 2 = 0 [ set nume (side / 2) ] [ set nume ((side - 1) / 2) ] ask patch 0 0 [ sprout 1 ] while [ rad < nume ] [ ask patch (rad + 1) 0 [ sprout 1] ask patch (-(rad + 1)) 0 [ sprout 1] set rad (rad + 1) ] while [ yrad < nume ] [ ask patch 0 (yrad + 1) [ sprout 1 ] ask patch 0 (-(yrad + 1)) [ sprout 1 ] set rad 0 while [ rad < nume ] [ ask patch (rad + 1) (yrad + 1) [ sprout 1] ask patch (-(rad + 1)) (yrad + 1) [ sprout 1] ask patch (rad + 1) (-(yrad + 1)) [ sprout 1] ask patch (-(rad + 1)) (-(yrad + 1)) [ sprout 1] set rad (rad + 1) ] set yrad (yrad + 1) ] if wrap [ask patch nume 0 [ ask turtles-here [ create-links-with turtles with [(xcor = (- nume)) and (ycor = 0)] ] ] set yrad 1 while [ yrad <= nume ] [ ask patch nume yrad [ ask turtles-here [ create-links-with turtles with [(xcor = (- nume)) and (ycor = yrad)] ] ] ask patch nume (- yrad) [ ask turtles-here [ create-links-with turtles with [(xcor = (- nume)) and (ycor = (- yrad))] ] ] set yrad (yrad + 1) ] ask patch 0 nume [ ask turtles-here [ create-links-with turtles with [(xcor = 0) and (ycor = (- nume))] ] ] set rad 1 while [ rad <= nume ] [ ask patch rad nume [ ask turtles-here [ create-links-with turtles with [(xcor = rad) and (ycor = (- nume))] ] ] ask patch (- rad) nume [ ask turtles-here [ create-links-with turtles with [(xcor = (- rad)) and (ycor = (- nume))] ] ] set rad (rad + 1) ] ] ask patches [ ask turtles-here [ create-links-with other turtles in-radius 1 ] ] reset-ticks end to layout-spr layout-spring turtles links constant long repulsion display end ;;END OF LATICE SPECIFICATIONS**************************************************** ;;******************************************************************************** ;;******************************************************************************** ;;ERDOS-RENY SPECIFICATIONS******************************************************* ;;******************************************************************************** ;;******************************************************************************** to setup-Erdos-Reny clear-all set network 1 set-default-shape turtles "circle" ask patches [ set pcolor white ] create-turtles number-of-nodes ask turtles [ setxy random-xcor random-ycor ;; ER networks will be given opinion without draw! yet nothing prevents the sceptical ;; user to use draw! afterwards, which will only repeat the process let col random diversity-of-opinions if col < 1 [ set opinion 1 set color red ] if (col > 0.9) and (col < 2) [ set opinion 2 set color blue ] if (col > 1.9) and (col < 3) [ set opinion 3 set color green ] if (col > 2.9) and (col < 4) [ set opinion 4 set color turquoise ] if (col > 3.9) and (col < 5) [ set opinion 5 set color brown ] if (col > 4.9) and (col < 6) [ set opinion 6 set color violet ] if (col > 5.9) and (col < 7) [ set opinion 7 set color orange ] ] while [ (count links < links-number) and (count links < number-of-nodes * (number-of-nodes - 1) / 2) ] [ ask one-of turtles [ create-link-with one-of other turtles ] ] if structure = "circle" [ layout-circle turtles (world-width / 2 - 1) ] reset-ticks end ;;END OF ERDOS-RENY SPECIFICATIONS************************************************ ;;******************************************************************************** ;;******************************************************************************** ;;BARABASI SPECIFICATIONS********************************************************* ;;******************************************************************************** ;;******************************************************************************** ;;;;;;;;;;;;;;;;;;;;;;;; ;;; Setup Procedures ;;; ;;;;;;;;;;;;;;;;;;;;;;;; to setup-BA clear-all set network 2 ask patches [set pcolor white] set-default-shape turtles "circle" ;; make the initial network of two (three) turtles and an edge (three) make-node nobody ;; first node, unattached make-node turtle 0 ;; second node, attached to first node if degree? = "2" [ make-node turtle 1 ask turtle 2 [ create-link-with turtle 0 ] ] ;; if degree is two, then adds the node and links reset-ticks end ;;;;;;;;;;;;;;;;;;;;;;; ;;; Main Procedures ;;; ;;;;;;;;;;;;;;;;;;;;;;; to go ;; new edge is green, old edges are gray ask links [ set color gray - 2 ] if degree? = "1" [ make-node find-partner ;; find partner & use it as attachment ] ;; point for new node if degree? = "2" [ create-turtles 1 set partner2 1 ;; if the future partners turn out to be the same, then partner2 is made 1 and the loop is repeated while [partner2 > 0] [let turt1 find-partner let turtle2 find-partner ifelse turt1 = turtle2 [set partner2 1] [set partner2 0 ask max-one-of turtles [who] [create-link-with turt1 create-link-with turtle2]] ;; the last turtle added makes the new links ] ] tick if layout? [ layout ] if plot? [ do-plotting ] end ;; used for creating a new node to make-node [old-node] crt 1 [ set color red if old-node != nobody [ create-link-with old-node [ set color green ] ;; position the new node near its partner move-to old-node fd 8 ] ] end ;; This code is borrowed from Lottery Example (in the Code Examples ;; section of the Models Library). ;; The idea behind the code is a bit tricky to understand. ;; Basically we take the sum of the degrees (number of connections) ;; of the turtles, and that's how many "tickets" we have in our lottery. ;; Then we pick a random "ticket" (a random number). Then we step ;; through the turtles to figure out which node holds the winning ticket. to-report find-partner ;; endSearch is a random number up to the total number of links let endSearch random-float sum [count link-neighbors] of turtles let partner nobody ask turtles [ let nc count link-neighbors ;; if there's no winner yet... if partner = nobody [ ifelse nc > endSearch [ set partner self ] ;; Because we now have a partner the ifelse will be ignored now. [ set endSearch endSearch - nc ] ] ] report partner end ;;;;;;;;;;;;;; ;;; Layout ;;; ;;;;;;;;;;;;;; to layout ;; the number 3 here is arbitrary; more repetitions slows down the ;; model, but too few gives poor layouts repeat 3 [ ;; the more turtles we have to fit into the same amount of space, ;; the smaller the inputs to layout-spring we'll need to use let factor sqrt count turtles ;; numbers here are arbitrarily chosen for pleasing appearance layout-spring turtles links (1 / factor) (7 / factor) (1 / factor) display ;; for smooth animation ] ;; don't bump the edges of the world let x-offset max [xcor] of turtles + min [xcor] of turtles let y-offset max [ycor] of turtles + min [ycor] of turtles ;; big jumps look funny, so only adjust a little each time set x-offset limit-magnitude x-offset 0.1 set y-offset limit-magnitude y-offset 0.1 ask turtles [ setxy (xcor - x-offset / 2) (ycor - y-offset / 2) ] end to-report limit-magnitude [number2 limit] if number2 > limit [ report limit ] if number2 < (- limit) [ report (- limit) ] report number2 end ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; note that subtle modfications might have been applied to the model by Uri Wilensky: ; *** NetLogo 4.0.2 Model Copyright Notice *** ; ; Copyright 2005 by Uri Wilensky. All rights reserved. ; ; Permission to use, modify or redistribute this model is hereby granted, ; provided that both of the following requirements are followed: ; a) this copyright notice is included. ; b) this model will not be redistributed for profit without permission ; from Uri Wilensky. ; Contact Uri Wilensky for appropriate licenses for redistribution for ; profit. ; ; To refer to this model in academic publications, please use: ; Wilensky, U. (2005). NetLogo Preferential Attachment model. ; http://ccl.northwestern.edu/netlogo/models/PreferentialAttachment. ; Center for Connected Learning and Computer-Based Modeling, ; Northwestern University, Evanston, IL. ; ; In other publications, please use: ; Copyright 2005 Uri Wilensky. All rights reserved. ; See http://ccl.northwestern.edu/netlogo/models/PreferentialAttachment ; for terms of use. ; ; *** End of NetLogo 4.0.2 Model Copyright Notice *** ;;END OF BARABASI-ALBERT SPECIFICATIONS**************************************** ;;***************************************************************************** ;;***************************************************************************** ;;WATTS-STROGATZ SPECIFICATIONS*************************************************** ;;******************************************************************************** ;;******************************************************************************** ;;;;;;;;;;;;;;;;;;;;;;;; ;;; Setup Procedures ;;; ;;;;;;;;;;;;;;;;;;;;;;;; to startup set highlight-string "" end to setup-WS clear-all ask patches [set pcolor white] set network 3 set infinity 99999 ;; just an arbitrary choice for a large number set-default-shape turtles "circle" make-turtles ;; set up a variable to determine if we still have a connected network ;; (in most cases we will since it starts out fully connected) let success? false while [not success?] [ ;; we need to find initial values for lattice wire-them ;;calculate average path length and clustering coefficient for the lattice set success? do-calculations ] ;; setting the values for the initial lattice set clustering-coefficient-of-lattice clustering-coefficient set average-path-length-of-lattice average-path-length set number-rewired 0 set highlight-string "" reset-ticks end to make-turtles crt number-of-nodes [ set color gray + 2 ] ;; arrange them in a circle in order by who number layout-circle (sort turtles) max-pxcor - 1 end ;;;;;;;;;;;;;;;;;;;;;;; ;;; Main Procedure ;;; ;;;;;;;;;;;;;;;;;;;;;;; to rewire-one ;; make sure num-turtles is setup correctly else run setup first if count turtles != number-of-nodes [ setup-WS ] ;; record which button was pushed set rewire-one? true set rewire-all? false let potential-edges links with [ not rewired? ] ifelse any? potential-edges [ ask one-of potential-edges [ ;; "a" remains the same let node1 end1 ;; if "a" is not connected to everybody if [ count link-neighbors ] of end1 < (count turtles - 1) [ ;; find a node distinct from node1 and not already a neighbor of node1 let node2 one-of turtles with [ (self != node1) and (not link-neighbor? node1) ] ;; wire the new edge ask node1 [ create-link-with node2 [ set color cyan set rewired? true ] ] set number-rewired number-rewired + 1 ;; counter for number of rewirings ;; remove the old edge die ] ] ;; plot the results let connected? do-calculations ] [ user-message "all edges have already been rewired once" ] end to rewire-all ;; make sure num-turtles is setup correctly; if not run setup first if count turtles != number-of-nodes [ setup-WS ] ;; record which button was pushed set rewire-one? false set rewire-all? true ;; set up a variable to see if the network is connected let success? false ;; if we end up with a disconnected network, we keep trying, because the APL distance ;; isn't meaningful for a disconnected network. while [not success?] [ ;; kill the old lattice, reset neighbors, and create new lattice ask links [ die ] wire-them set number-rewired 0 ask links [ ;; whether to rewire it or not? if (random-float 1) < rewiring-probability [ ;; "a" remains the same let node1 end1 ;; if "a" is not connected to everybody if [ count link-neighbors ] of end1 < (count turtles - 1) [ ;; find a node distinct from node1 and not already a neighbor of node1 let node2 one-of turtles with [ (self != node1) and (not link-neighbor? node1) ] ;; wire the new edge ask node1 [ create-link-with node2 [ set color cyan set rewired? true ] ] set number-rewired number-rewired + 1 ;; counter for number of rewirings set rewired? true ] ] ;; remove the old edge if (rewired?) [ die ] ] ;; check to see if the new network is connected and calculate path length and clustering ;; coefficient at the same time set success? do-calculations ] end ;; do-calculations reports true if the network is connected, ;; and reports false if the network is disconnected. ;; (In the disconnected case, the average path length does not make sense, ;; or perhaps may be considered infinite) to-report do-calculations ;; set up a variable so we can report if the network is disconnected let connected? true ;; find the path lengths in the network find-path-lengths let num-connected-pairs sum [length remove infinity (remove 0 distance-from-other-turtles)] of turtles ;; In a connected network on N nodes, we should have N(N-1) measurements of distances between pairs, ;; and none of those distances should be infinity. ;; If there were any "infinity" length paths between nodes, then the network is disconnected. ;; In that case, calculating the average-path-length doesn't really make sense. ifelse ( num-connected-pairs != (count turtles * (count turtles - 1) )) [ set average-path-length infinity ;; report that the network is not connected set connected? false ] [ set average-path-length (sum [sum distance-from-other-turtles] of turtles) / (num-connected-pairs) ] ;; find the clustering coefficient and add to the aggregate for all iterations find-clustering-coefficient ;; report whether the network is connected or not report connected? end ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;; Clustering computations ;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; to-report in-neighborhood? [ hood ] report ( member? end1 hood and member? end2 hood ) end to find-clustering-coefficient ifelse all? turtles [count link-neighbors <= 1] [ ;; it is undefined ;; what should this be? set clustering-coefficient 0 ] [ let total 0 ask turtles with [ count link-neighbors <= 1] [ set node-clustering-coefficient "undefined" ] ask turtles with [ count link-neighbors > 1] [ let hood link-neighbors set node-clustering-coefficient (2 * count links with [ in-neighborhood? hood ] / ((count hood) * (count hood - 1)) ) ;; find the sum for the value at turtles set total total + node-clustering-coefficient ] ;; take the average set clustering-coefficient total / count turtles with [count link-neighbors > 1] ] end ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;;; Path length computations ;;; ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ;; Implements the Floyd Warshall algorithm for All Pairs Shortest Paths ;; It is a dynamic programming algorithm which builds bigger solutions ;; from the solutions of smaller subproblems using memoization that ;; is storing the results. ;; It keeps finding incrementally if there is shorter path through ;; the kth node. ;; Since it iterates over all turtles through k, ;; so at the end we get the shortest possible path for each i and j. to find-path-lengths ;; reset the distance list ask turtles [ set distance-from-other-turtles [] ] let i 0 let j 0 let k 0 let node1 one-of turtles let node2 one-of turtles let node-count count turtles ;; initialize the distance lists while [i < node-count] [ set j 0 while [j < node-count] [ set node1 turtle i set node2 turtle j ;; zero from a node to itself ifelse i = j [ ask node1 [ set distance-from-other-turtles lput 0 distance-from-other-turtles ] ] [ ;; 1 from a node to it's neighbor ifelse [ link-neighbor? node1 ] of node2 [ ask node1 [ set distance-from-other-turtles lput 1 distance-from-other-turtles ] ] ;; infinite to everyone else [ ask node1 [ set distance-from-other-turtles lput infinity distance-from-other-turtles ] ] ] set j j + 1 ] set i i + 1 ] set i 0 set j 0 let dummy 0 while [k < node-count] [ set i 0 while [i < node-count] [ set j 0 while [j < node-count] [ ;; alternate path length through kth node set dummy ( (item k [distance-from-other-turtles] of turtle i) + (item j [distance-from-other-turtles] of turtle k)) ;; is the alternate path shorter? if dummy < (item j [distance-from-other-turtles] of turtle i) [ ask turtle i [ set distance-from-other-turtles replace-item j distance-from-other-turtles dummy ] ] set j j + 1 ] set i i + 1 ] set k k + 1 ] end ;;;;;;;;;;;;;;;;;;;;;;; ;;; Edge Operations ;;; ;;;;;;;;;;;;;;;;;;;;;;; ;; creates a new lattice to wire-them ;; iterate over the turtles let n 0 while [n < count turtles] [ ;; make edges with the next two neighbors ;; this makes a lattice with average degree of 4 make-edge turtle n turtle ((n + 1) mod count turtles) if dist? = "2" [ make-edge turtle n turtle ((n + 2) mod count turtles) ] set n n + 1 ] end ;; connects the two turtles to make-edge [node1 node2] ask node1 [ create-link-with node2 [ set rewired? false ] ] end ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; ; note that subtle modfications might have been applied to the model by Uri Wilensky: ; *** NetLogo 4.0.3 Model Copyright Notice *** ; ; Copyright 2005 by Uri Wilensky. All rights reserved. ; ; Permission to use, modify or redistribute this model is hereby granted, ; provided that both of the following requirements are followed: ; a) this copyright notice is included. ; b) this model will not be redistributed for profit without permission ; from Uri Wilensky. ; Contact Uri Wilensky for appropriate licenses for redistribution for ; profit. ; ; To refer to this model in academic publications, please use: ; Wilensky, U. (2005). NetLogo Small Worlds model. ; http://ccl.northwestern.edu/netlogo/models/SmallWorlds. ; Center for Connected Learning and Computer-Based Modeling, ; Northwestern University, Evanston, IL. ; ; In other publications, please use: ; Copyright 2005 Uri Wilensky. All rights reserved. ; See http://ccl.northwestern.edu/netlogo/models/SmallWorlds ; for terms of use. ; ; *** End of NetLogo 4.0.3 Model Copyright Notice *** ;;END OF WATTS-STROGATZ SPECIFICATIONS******************************************** ;;******************************************************************************** ;;******************************************************************************** ;;TO PLOT, PLOTTING AND PLOTTING2************************************************* ;;******************************************************************************** ;;******************************************************************************** to do-plots set-current-plot "totals" set-current-plot-pen "active" plot idea / count links if opinions-to-plot > 0 [ set-current-plot-pen "red" plot count links with [ color = red ] / count links ] if opinions-to-plot > 1 [ set-current-plot-pen "blue" plot count links with [ color = blue ] / count links ] if opinions-to-plot > 2 [ set-current-plot-pen "green" plot count links with [ color = green ] / count links ] if opinions-to-plot > 3 [ set-current-plot-pen "turquoise" plot count links with [ color = turquoise ] / count links ] if opinions-to-plot > 4 [ set-current-plot-pen "brown" plot count links with [ color = brown ] / count links ] if opinions-to-plot > 5 [ set-current-plot-pen "violet" plot count links with [ color = violet ] / count links ] if opinions-to-plot > 6 [ set-current-plot-pen "orange" plot count links with [ color = orange ] / count links ] end ;;;;;;;;;;;;;;;; ;;; Plotting ;;; ;;;;;;;;;;;;;;;; to do-plotting ;; plotting procedure let max-degree max [count link-neighbors] of turtles set-current-plot "Degree Distribution" plot-pen-reset ;; erase what we plotted before set-plot-x-range 1 (max-degree + 1) ;; + 1 to make room for the width of the last bar histogram [count link-neighbors] of turtles ;; for this plot, the axes are logarithmic, so we can't ;; use "histogram-from"; we have to plot the points ;; ourselves one at a time set-current-plot "Degree Distribution (log-log)" plot-pen-reset ;; erase what we plotted before ;; the way we create the network there is never a zero degree node, ;; so start plotting at degree one let degree 1 while [degree <= max-degree] [ let matches turtles with [count link-neighbors = degree] if any? matches [ plotxy log degree 10 log (count matches) 10 ] set degree degree + 1 ] end ;;;;;;;;;;;;;;;; ;;; Plotting ;;; ;;;;;;;;;;;;;;;; to do-plotting2 if rewire-one? [ ;; plot the rewire-one graph set-current-plot "Network Properties WS" set-current-plot-pen "apl" ;; note: dividing by value at initial value to normalize the plot plotxy number-rewired / count links average-path-length / average-path-length-of-lattice set-current-plot-pen "cc" ;; note: dividing by initial value to normalize the plot plotxy number-rewired / count links clustering-coefficient / clustering-coefficient-of-lattice ] if rewire-all? [ ;; plot the rewire-all graph set-current-plot "Network Properties WS" set-current-plot-pen "apl" ;; note: dividing by value at initial value to normalize the plot plotxy rewiring-probability average-path-length / average-path-length-of-lattice set-current-plot-pen "cc" ;; note: dividing by initial value to normalize the plot plotxy rewiring-probability clustering-coefficient / clustering-coefficient-of-lattice ] end ; *** NetLogo 4.0.2 Model Copyright Notice *** ; ; Copyright 2008 by Pablo Gonz�lez de Prado Salas and Juan Carlos Gonz�lez. ; All rights reserved. ; ; Permission to use, modify or redistribute this model is hereby granted, ; provided that both of the following requirements are followed: ; a) this copyright notice is included. ; b) this model will not be redistributed for profit without permission ; from Pablo Gonz�lez de Prado Salas and Juan Carlos Gonz�lez. ; Contact Pablo Gonz�lez de Prado Salas for appropriate licenses for redistribution for ; profit. pablogps86@gmail.com ; ; To refer to this model in academic publications, please use: ; Pablo Gonz�lez de Prado Salas and Juan Carlos Gonz�lez. (2008). NetLogo Voter model. ; IFISC ; ; (And please let us know!) ; ; In other publications, please use: ; Copyright 2008 Pablo Gonz�lez de Prado Salas and Juan Carlos Gonz�lez. ; All rights reserved. ; contact pablogps86@gmail.com for terms of use. ; ; *** End of NetLogo 4.0.2 Model Copyright Notice ***
There is only one version of this model, created about 7 years ago by Pablo Gonzalez de Prado.
Attached files
File | Type | Description | Last updated | |
---|---|---|---|---|
Voter dynamics in complex networks.png | preview | Preview for 'Voter dynamics in complex networks' | about 7 years ago, by Pablo Gonzalez de Prado | Download |
This model does not have any ancestors.
This model does not have any descendants.