# Distributed Score Voting

Distributed Score Voting (DSV) is a Single-Winner and Multi-Winner Cardinal voting system.

In the Single-Winner part, it's similar to Smith//Score. In the Multi-Winner part, Distributed Multi-Voting, the more preferred the winning candidate is in a vote, the more the weight of that vote is decreased in the choice of the next winner.

## Procedure

### Voting

Each voter has 100 points to distribute among the candidates according to his preferences (it's also possible to write the vote even in a simpler form, with range from 0 to 5 points for each candidate).

All candidates in the vote have 0 points by default.

DSV counting

W = 100 for all votes, at the beginning.

Graphically, each candidate is a node; the head-to-head is represented by an arrow, leaving the winning candidate, entering the losing candidate. The tie is represented as a double arrow entering, that is both candidates are considered losers.

2) Find the smallest set X (Smith set) of nodes that don’t have incoming arrows, coming from outside the set.

3) Convert the votes using the following formula:

M = highest score among the candidates in the vote, before normalization.

v0 = current value of candidate C, to be normalized.

v1 = value of candidate C, after normalization.

${\displaystyle $$v1=\frac{v0}{M} \cdot W$$}$

Then remove all candidates not in X from the votes.

4) Add up the points for each candidate of the range votes, and the candidate who has the highest sum, wins.

The choice of the single winner ends here.

5) If you want to have more winners, then remove the single-winner from all original votes, repeating the whole procedure from point 1.

The value W of each original vote changes according to the following formula:

M = highest score among the candidates in the vote (before removing the candidate).

e = candidate's score eliminated.

W0 = previous value of W

W1 = new value of W

${\displaystyle $$W1=\frac{W0}{\left( 1+\frac{e}{M}\right)}$$}$

By repeating this process several times, you can get as many winners as you like, which will be those removed in point 5.

6) If you want to know the % of victory of the winning candidates then, in each original vote, you must remove all the candidates who haven’t won, and normalize each vote with the following formula:

S = sum of the points left in the vote.

v0 = current value of candidate C, to be normalized.

v1 = value of candidate C, after normalization.

${\displaystyle $$v1=\frac{v0}{S} \cdot 100$$}$

The sum of points for each candidate will indicate the % of victory.

In a head-to-head between candidates A and B, a vote like A[10], B[30], C[60], D[0] could be treated in 2 different forms:

1) A[25], B[75] or A[33] B[100]

This form is subject to some problems:

• in a context with only one winner and two candidates, the voter is unlikely to want to distribute his points in that way.
• greatly increase the tactical vote in which voters accumulate points on their preferred candidate.
• prevent the DSV to meet the following criteria: majority criterion, majority loser criterion, mutual majority criterion.

2) A[0], B[100] that is, 0 to the minor and maximum to the major

This form avoids all the problems mentioned above.

### Simplified vote writing

To make the writing of the vote more comprehensible and simple, the voter can be left with almost complete freedom in the use of numerical values or only X.

Before the counting process, the votes will be normalized to 100-point votes, where the Xs are considered as equal weight values.

Examples of how a vote can be written by the voter and subsequently, before the counting, converted into 100 points:

X,0,0,0,0 → 100,0,0,0,0

X,X,X,X,0 → 25,25,25,25,0

4,3,2,1,0 → 40,30,20,10,0

40,6,3,1,0 → 80,12,6,2,0

101,0,0,0,0 → 100,0,0,0,0

The complexity in writing the vote adapts to the voter, and it’s also noted that, if 101 or 99 points are mistakenly distributed, the vote will still be valid.

## Criteria

Majority Maj. loser Mutual maj. Condorcet Cond. loser Smith Pareto IIA* IIA Clone proof Monotone Consistency Participation Reversal
symmetry
Later-no
Help
Favorite
betrayal
DSV
single-winner
Yes Yes Yes Yes Yes Yes Yes Yes No Yes Yes No No Yes No No

IIA*: X is a set containing all the preferred candidates over B. If I add C a less appreciated candidate (in head-to-head) than the candidates in X, then all candidates in X continue to be preferred over B.

This method also passes ISDA.

All the criteria not met are linked to the fact that, through tactical votes, it's possible add / remove a candidate from the Smith set.

- add one more candidate into the Smith set isn't a big problem because that additional candidate must then beat all the other candidates in point 4 of the procedure (and if he manages to beat them all it makes sense that he wins).

- removing a candidate from the Smith set is only possible when that candidate lose all the head-to-head with the candidates contained in the Smith set. This actually becomes a problem only if the excluded candidate is the one who really should have won.

Below is an example in which, through tactical votes, it's possible to bring out a candidate, who should have won, from the Smith set (making him lose).