Distributions
For a group of elements, distribution measure their individual properties in a given moment of the simulation. This framework includes the following distributions:
Features
This distributions measure properties of the different features. We differentiate three distributions here:
Information feature: this distribution measures the amount of times that information pieces containing this feature have been received by the users in the simulation (or, in different words, how many times each feature has been received).
User feature: this distribution measures times pieces created by people with these features have been received.
Mixed feature: this distribution considers how many times information pieces containing a certain information feature and created by a user with a certain user feature have been received.
Parameters
In the case of the individual feature cases (both the information and the user cases), the configuration receives just one parameter:
feature: the name of the user/information feature to use.
In the case of the mixed feature case, we take two:
userFeature: the name of the user feature we are going to use.infoFeature: the name of the information pieces feature we are going to use.
Configuration file
For the information feature distribution, we have the following configuration file:
Information features:
feature:
type: string
value: feature_name
for the user feature distribution, it is:
User features:
feature:
type: string
value: feature_name
and, for the mixed case:
Mixed features:
userFeature:
type: string
value: feature_name
infoFeature:
type: string
value: feature_name
Information
For each information piece, this distribution measures how many times it has been received.
Configuration file
Information:
Users
For each user in the network, this distribution measures how many information pieces they have received.
Configuration file
For the individual version, the configuration file is the following:
Users: