Sight mechanisms¶

Once some information pieces have been received, users do not pay the same attention to all of them: they just read some of them, who they might be interested in. This mechanism models this: it allows to select which information pieces are observed by the user. We provide the following sight mechanisms in RELISON:

All
All not discarded
All not propagated
All not discarded nor propagated
All recommended
All train
Count

All¶

This mechanism makes users see all the information pieces they have received.

Configuration file¶

sight:
  name: All

All not discarded¶

The users read all the received user-generated contents which have not been discarded earlier by the expiration mechanism.

Configuration file¶

sight:
  name: All not discarded

All not propagated¶

The users read all the received user-generated contents which have not been propagated earlier by the user.

Configuration file¶

sight:
  name: All not propagated

All not discarded nor propagated¶

A combination of the All not discarded and All not propagated mechanisms: a user sees all the information pieces who he has never propagated or discarded in earlier iterations.

Configuration file¶

sight:
  name: All not propagated nor discarded

All recommended¶

When this mechanism is used, each user sees all the information pieces coming from recommended users, and which have not previously propagated by the user.

Parameters¶

orientation: the neighborhood to consider.
- IN: it considers the incoming neighborhood of the target user.
- OUT: it considers the outgoing neighborhood of the target user.
- UND: it considers the all the possible neighbors of the target users (\(\Gamma_{out}(u) \cup \Gamma_{in}(u)\))
- MUTUAL: it considers as neighbors those who share a reciprocal link with the target user (\(\Gamma_{out}(u) \cap \Gamma_{in}(u)\))

Configuration file¶

sight:
  name: All recommended
  params:
    orientation:
      type: orientation
      value: IN/OUT/UND/MUTUAL

All train¶

When this mechanism is used, each user sees all the information pieces not coming from recommended users, and which have not previously propagated by the user.

IN: it considers the incoming neighborhood of the target user.

OUT: it considers the outgoing neighborhood of the target user.

UND: it considers the all the possible neighbors of the target users (\(\Gamma_{out}(u) \cup \Gamma_{in}(u)\))

MUTUAL: it considers as neighbors those who share a reciprocal link with the target user (\(\Gamma_{out}(u) \cap \Gamma_{in}(u)\))

Configuration file¶

sight:
  name: All train
  params:
    orientation:
      type: orientation
      value: IN/OUT/UND/MUTUAL

Count¶

Each user sees, at most, a pre-determined number of the received information pieces.

Parameters¶

numSight: the maximum number of pieces each user sees.

Configuration file¶

sight:
  name: Count
  params:
    nuSight:
      type: int
      value: number_of_pieces

Recommended¶

This mechanism defines two probabilities: a probability for seeing pieces coming from recommended links and a probability for seeing pieces coming from the rest of the users.

Parameters¶

probRec: the probability of observing coming from links created via a recommendation
orientation: the neighborhood from which information pieces come. It is used to determine which of the users come from a recommendation and which of them do not.
- IN: it considers the incoming neighborhood of the target user.
- OUT: it considers the outgoing neighborhood of the target user.
- UND: it considers the all the possible neighbors of the target users (\(\Gamma_{out}(u) \cup \Gamma_{in}(u)\))
- MUTUAL: it considers as neighbors those who share a reciprocal link with the target user (\(\Gamma_{out}(u) \cap \Gamma_{in}(u)\))
probTrain: the probability of observing an information piece from the original links in the network.

Note: when used in code, there is another option, which takes as input a graph containing the probabilities. However, this option is not (at the moment) available from a configuration file.

Configuration file¶

selection:
  name: Recommended
  params:
    probRec:
      type: double
      value: probability
    probTrain:
      type: double
      value: probability
    orientation:
      type: orientation
      value: IN/OUT/UND/MUTUAL