I am new in using NetLogo, so I hope you can help me with this code.
I would like to build a network with two subnetwork, A and B, where A has N nodes and B beta*N nodes, where beta=0.5. Each network should be initialised with five fully connected nodes. I need to add a new node at a time, assuming that each has fixed out-degree k. Once a new node i comes into the network, it links to a randomly selected target node j. The other remaining k-1 nodes should be selected as following: with probability p, i should be linked to a random node of j's; with probability 1-p, i should be connected to another randomly selected node in A.
On the other hand, the nodes in B should be linked (directed link) to each node in A with probability P. P can vary from 0 to 1.
What I already tried is built the two networks with N and alpha*N nodes respectively. But, as I said, I am new in using NetLogo and I am finding many difficulties to build this network that should be really easy in a different programming language, I would be more familiar with.
; Global variables
breed [agents agent]
breed [bagents bagent]
to setup
clear-all
setup-agent
setup-bagent
end
; Defining agents
to setup-agent
set-default-shape turtles "person" ; agent shape
create-agents n-of-agents ; # of agents
[set size 2 ; agent size
set color white
setxy (random-xcor) (random-ycor)
]
; Random Network
ask agents [create-link-with one-of other agents with [not link-neighbor? myself]
ask links [set color white]
]
end
; Defining bagents
to setup-bagent
set-default-shape turtles "circle" ; bagents shape
set beta=0.5
let n-of-bagents beta*n-of-agents
create-bagents beta*n-of-agents ; # of bagents
[set size 2 ; bagent size
set color red
setxy (random-xcor) (random-ycor)
; Network
ask bagents [create-link-with one-of other bagents with [not link-neighbor? myself]
ask links [set color yellow]
]
end
to go
end
I hope you can help me to understand how to build such a network in NetLogo.
Many thanks
This does what you said. I don't think it's actually what you want as your algorithm is much better but still somewhat confused. But hopefully this gets you on the correct path.
UPDATED to make one node add each tick
globals
[ beta
prob
k
]
breed [A-agents A-agent]
breed [B-agents B-agent]
to setup
clear-all
set beta 0.5
set prob 0.2
set k 3
setup-A-seed
setup-B-seed
reset-ticks
end
to go
add-A-node
if random-float 1 < beta [add-B-node]
tick
end
; Defining A seed network
to setup-A-seed
create-A-agents 5
[ set shape "person"
set size 2
set color white
setxy random-xcor random-ycor
]
ask A-agents
[ create-links-to other A-agents
[ set color white ]
]
end
; Defining B seed network
to setup-B-seed
create-B-agents 5
[ set shape "circle"
set size 2
set color red
setxy random-xcor random-ycor
]
ask B-agents
[ create-links-to other B-agents
[ set color yellow ]
]
end
to add-A-node
create-A-agents 1
[ set shape "person"
set size 2
set color white
setxy random-xcor random-ycor
let target one-of other A-agents ; target is j in description
create-link-to target
repeat k - 1
[ let candidates (other [link-neighbors] of target) with [not link-neighbor? myself]
ifelse random-float 1 < prob or not any? candidates
[ create-link-to one-of other A-agents with [not link-neighbor? myself]
[ set color white ]
]
[ create-link-to one-of candidates
[ set color white ]
]
]
]
end
to add-B-node
create-B-agents 1
[ set shape "circle"
set size 2
set color red
setxy random-xcor random-ycor
let thisB self
ask A-agents
[ if random-float 1 < prob
[ create-link-from thisB
[ set color yellow
]
]
]
]
end
Some of the NetLogo issues I noticed in your code:
NetLogo does not use = for set
you must have space around mathematical operators (or NetLogo will think it's part of the name)
Some of the things you need to think about in your algorithm:
why do you have an initial B network if all Bs connect to each A with fixed probability?
what do you do if the selected A doesn't have any edges to follow?
As general advice, don't try writing something this complicated in one piece. Create your seed networks with 5 fully connected nodes. Make that work. Then do network A and make that work. Then bring in B. This iterative building is important for all programming languages. It is particularly important when using a new language so that you only have to debug one or two errors at a time and you know where the bugs are.
Related
I have the following code to detect and color communities:
to community-detection
nw:set-context turtles links
color-clusters nw:louvain-communities
end
to color-clusters [ clusters ]
; reset all colors
ask turtles [ set color gray - 3 ]
ask links [ set color gray - 3 ]
let n length clusters
let colors ifelse-value (n <= 12)
[ n-of n remove gray remove white base-colors ] ;; choose base colors other than white and gray
[ n-values n [ approximate-hsb (random 255) (255) (100 + random 100) ] ] ; too many colors - pick random ones
; loop through the clusters and colors zipped together
(foreach clusters colors [ [cluster cluster-color] ->
ask cluster [ ; for each node in the cluster
; give the node the color of its cluster
set color cluster-color
; colorize the links from the node to other nodes in the same cluster
; link color is slightly darker...
ask my-links [ set color cluster-color - 1 ]
]
])
end
I want to mouse-click in a specific cluster and show the number of each one of turtles, if possible, floating to not overlap the numbers. I created a button with the following code:
to identify-turtles
nw:set-context turtles links
if mouse-down? and member? nw:louvain-communities ([who] of turtles) [
ask turtles [ set label who ]
]
end
But nothing happens. Any suggestions on how to improve the code ?
It is also possible I can put the turtles numbers in a monitor, whatever is more doable.
Or even an observer command to get turtles of a specific cluster.
The problem with your code is that you only check whether or not the mouse is down, but you don't check where the mouse is actually pointed. To do that, you use mouse-xcor and mouse-ycor. I wrote this quick sample code for you where i check in descending order:
If the mouse is down
If there is a turtle close to the mouse
Which turtles is closest to the mouse
From there on, you can start giving commands to show labels and hide labels of themselves or all turtles in the network.
to setup
ca
crt 5 [setxy random-xcor random-ycor]
end
to go ;Set as a forever button
if mouse-down? [inspect-turtle]
end
to inspect-turtle
ifelse any? turtles with [distancexy mouse-xcor mouse-ycor < 1] [
ask min-one-of turtles [distancexy mouse-xcor mouse-ycor] [
set label who
ask other turtles [set label ""]
]
] [
ask turtles [set label ""]
]
end
I am trying to model an "online forum" where the model starts with 2 connected agents that are of 2 breeds (A-agents and B-agents).
With each iteration, an agent of one of the 2 breeds is created. Which breed of node is created; A-agent vs. B-agent is determined by a probability (see code).
The newly created agent (1 x A-agents or B-agents) then connects to either one of A-agents or B-agents based on a probability.
How do I make the newly created agent attach to one of the 2 breeds of agents based on probability of selection?
If newly created node is A-agents = 58% chance of connecting to one of A-agents and 42% to one of B-agents?
If newly created node is B-agents = 56% probability of connecting to an A-agent and 44% probability of connecting to B-agents
Here is my code so far, up to point 1.
breed [A-agents A-agent]
breed [B-agents B-agent]
to setup
clear-all
reset-ticks
create-A-agents 1
[ set shape "triangle"
set size 1
set color blue
setxy random-xcor random-ycor
]
create-B-agents 1
[ set shape "circle"
set size 1
set color red
setxy random-xcor random-ycor
]
ask B-agents [create-links-with A-agents [set color green]]
tick
end
to go ;; create a new node based on the emprical user distribution of A-agents/B-agents
let p random-float 100 ;; create a random number between 1-100
if (p >= 97) [create-A-agents 1
[ set shape "triangle"
set size 1
set color blue
setxy random-xcor random-ycor]]
if (p < 97) [create-B-agents 1
[ set shape "circle"
set size 1
set color red
setxy random-xcor random-ycor
]]
tick
end
you need something like this (for A-agents, you can write a similar for B-agents) - not tested and probably has syntax errors.
let test-num random-float 1
ifelse test-num < 0.58
[ create-link-with one-of other A-agents ]
[ create-link-with one-of B-agents ]
I haven't included any testing for whether there are actually any agents to connect to, but this should get you going in the right direction.
I'm very new at Netlogo and programming in general.
I want to create a netlogo model, with female and male turtles. Both populations move through the world via random walk. The female population should find a partner and has the property 'radius'. Her own radius should expand if she has not found a partner until the moment she finds one. How can I program a radius around the female turtles, that expand after each time step if she has not found a partner?
Thanks for your help!
First, you need a turtle attribute that stores the value for each turtle. The way to do that is with a turtles-own statement. Then you simply change the value as required. The primitive in-radius looks at everything within the specified distance, and then you can set a condition by whether there are any? suitable mates. Your code would look something like (this is a complete model):
turtles-own
[ search-radius
mate
]
to setup
clear-all
create-turtles 20
[ setxy random-xcor random-ycor
set color blue
set search-radius 1
]
reset-ticks
end
to go
check-for-mate
tick
end
to check-for-mate
ask turtles with [color = blue]
[ let candidates other turtles in-radius search-radius
ifelse any? candidates
[ set mate one-of candidates
set color red
]
[ set search-radius search-radius + 0.5 + random-float 1
]
]
end
I would like to create some turtles in a radius of another breed agent.
I have this example code:
breed [ readers reader ]
undirected-link-breed [ rris rri ]
breed [ tags tag ]
to setup
clear-all
set xy-file "locations.txt"
setup-readers
setup-tags
end
to setup-readers
create-readers num-readers [
set shape "circle"
set color white ; means idle state 'red' is active
setxy random-xcor random-ycor
]
end
to setup-tags
create-tags tag-population [
setxy random-xcor random-ycor in-radius 6 of one-of readers
]
end
The line setxy... to place the tags in a circle of distance 6 from one of the readers it does not work, but I do not know how to fix it. I have also tested move-to primitive without good result.
What I would like is to have a population of tags in a radius of each reader and if possible select the number of tags for each reader to be different.
The sprout primitive might get you what you need- instead of creating your tags and then moving them, just have the appropriate patches spawn them directly. For example, with this setup:
breed [ readers reader ]
breed [ tags tag ]
to setup
clear-all
setup-readers
setup-tags
reset-ticks
end
to setup-readers
create-readers 5 [
set shape "circle"
set color white
setxy random-xcor random-ycor
]
end
You can make a population of patches that are within the radius of readers and have however many you like sprout a tag:
to setup-tags
let radii-patches patch-set []
ask readers [
set radii-patches ( patch-set radii-patches patches in-radius 6 )
]
; Code above defines the patch-set of patches within 6 of readers
; Then, just ask 10 of those radii patches to sprout a tag
ask n-of 10 radii-patches [
sprout-tags 1
]
end
If you are doing this on a per-reader basis and you want each to have a different number of tags, you could try something like:
to setup-tags-reader
let n-tag random 5
ask readers [
ask n-of n-tag patches in-radius 6 [
sprout-tags 1
]
]
end
but then set the n-tag value some other way (for example, from another .csv file as you seem to be setting reader location).
Side note- when you post on here try to strip out any code than cannot be directly copied and pasted into Netlogo by other users (eg the 'xy-file' line, the tag-population and num-readers variables)- it just makes things super simple!
Edit
As per your comment- try this option (using the same setup as above)
to setup-tags
create-tags 10 [
move-to one-of readers
rt random-float 360
fd random-float 6
]
end
This just creates tags, moves them to a reader, has them randomly select a direction, then has them step forward a random amount from 0 to 6.
As to how to assign patches to each reader- just make a readers-own variable then have them assign patches to that variable in their setup (eg, set my-patches patches in-radius 6). You could do a similar thing with tags to define a reader-specific set of tags (eg `set my-tags tags in-radius 6). Note that in both cases you can get overlap where two readers share patches/tags- you will have to account for that.
I am new at net logo and I want to write a model based on tragedy of the commons in the case of an overfished pond. The purpose is to find an equilibrium between fishers and fishes based on an economic model with demand and supply. If there are less fishers, more fishes will be in the pond, then after a certain time (ticks) the number of fishers increases and less fishes will be in the pond. Maybe set like a number of fishes per day that can be fished. Thus, the solution is to find a convenient number of fishers as the fishes can still reproduce. I want to have a box in the interface where I can type in a number and see what happens with the number of fishes.
I have no idea how to set this up. I hope to hear from you :)
I started with this code:
breed [fishers fisher]
breed [fishes fish]
to setup
clear-all
reset-ticks
ask patches [set pcolor blue ] ;; lake/pond in form of a rectangle in color
ask patches [ if pxcor > 8 [ set pcolor green ]]
ask patches [ if pycor > 8 [ set pcolor green ]]
ask patches [ if pycor < -8 [ set pcolor green ]]
ask patches [ if pxcor < -8 [ set pcolor green ]]
ask one-of patches with [ pcolor = blue ] [ sprout 20 [set shape "fish" set color pink set size 1.5 ]] ;; creates fishes
ask one-of patches with [ pcolor = green ] [ sprout 2 [set shape "person" set color black set size 3 ] ] ;; creates fishers
end
to go
tick
;;fishes
ask turtles with [ shape = "fish" and color = pink ]
[ right random 360 forward 1
if [pcolor] of patch-ahead 1 = green [ right 180 fd 1 ]]
;; fishers
ask turtles with [ shape = "person" and color = black]
[;right random 360 forward 1
if any? patches with [pcolor = blue]
[set heading towards one-of patches with [pcolor = blue] forward 1]
if [pcolor] of patch-ahead 1 = blue [ right 180 fd 2 ]]
ask turtles with [shape = "person" and color = black]
[if any? turtles with [shape = "fish" and color = pink] in-radius 2
[ask turtles with [shape = "fish" and color = pink] in-radius 2 [die]]]
end
Firstly, I suggest you look through existing models in the Netlogo library (Wolf-sheep-predation model may help). You roughly have the right idea in your current code, but you should look at other models to improve. You've already set your different breeds of turtles, but you should also set up their respective shapes under 'setup'. This would help you a great deal later - instead of calling for
ask turtles with [ shape = "fish"...]
you can simply
ask fishes [do sth...]
For that 'box at the interface', you can have a slider at the interface determining the number of fishers you want your run to start with. With another slider, you can set the fishing pressure in your simulated run (i.e. how many fish each fisher will catch) and I suppose you can also consider how this changes when population of fish decreases.
Finally, for a model like yours, you can observe the supply and demand trend by plotting the curves of no. of fishers over time and no. of fishes over time. Again, look at the wolf-sheep-predation model to have an idea of how to do this.
I can't give you more than this I'm afraid since I'm no pro myself but hope this helps a little. Hope someone else would be able to give you a clearer idea.