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Normal distribution social network

BehaviourComposer: ignore everything before this.

Begin micro-behaviour

Begin description:

Create a social network where the number of bi-directional links each member has follows a normal distribution.

End description

Normal distribution social network

Begin NetLogo code:

substitute-text-area-for average-acquaintance-count-in-normal-symmetric-network 4
substitute-text-area-for community-expression all-individuals
   [let average-acquaintance-count average-acquaintance-count-in-normal-symmetric-network
    output-print (word "Initialising the social network so everyone has an average of " 
                       " acquaintances with a normal distribution.")
    let entire-community community-expression
    let total-population count entire-community
    if total-population < average-acquaintance-count + 1 
      [output-print (word "Too small a population to create " 
                          " average number of links.")
    let total-links round (0.5 * average-acquaintance-count * total-population)
    repeat total-links 
           [let a one-of entire-community
            let b one-of entire-community
            while [a = b or member? a [my-links] of b] 
                  [set b one-of entire-community] ; try again until someone found
            ask a [create-link-with b]]
    output-print "Initialisation completed."]

End NetLogo code


You can edit the text areas to change the average number of acquaintances per person or to change the set of individuals that are to be linked together.

Related behaviours

The Power law social network behaviour assigns acquaintances to each individual to create a power law distribution.

How this works

Each link is added to two random members of the population with equal probability. The code ensures that no duplicate or self links are created.


Normal distribution social network was implemented by Ken Kahn on 3 February 2011. Updated 11 May 2011.

BehaviourComposer: ignore everything after this.