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Activity Rewards (Under Development)

For each epoch (4 weeks), there will be a pool alloted for rewards, R, to be split between all Curators, Collectors and Creators. Each indibidual in the pool will receive an individual attention score, w, that will be used to determine the reward, r, for a specific individual. The individual score is determined by the formula
w=f1α×f21αw = f^α_1 \times f_2^{1-\alpha}
where
f1f_1
is a quantifiable good behaviour factor and
f2f_2
is the second good behaviour factor for this individual category over that period.
Alpha (α) is a constant that allows increased or decreased weighting on either on either
f1f_1
or
f2f_2
and this is demonstrated through the "Rewards of
f1f_1
and
f2f_2
" plots at the end of this section. Changing
α\alpha
over a period of time allows TokenTraxx to manage the goals of the platform through the incentive mechanism for users.
For example, let's say in the beginnning of protocol, we want to focus on "Democratisation over revenue generation".
Using the
f1f_1
and
f2f_2
for Creators in the table below, we can initially set
α=0.9\alpha = 0.9
to reward Creators to increase "# of listeners/epoch" when they launch a campaign. We can then gradually decrease
α\alpha
to 0.1 in the future epochs, which will then reward Creators who have generated the highest revenue for the protocol, thus incentivising the highest monetary value generator Creators with the best music.
Individual Score Formula
w=f1α×f21αw = f^α_1 \times f_2^{1-\alpha}
Individual Reward Formula
r=R×wnkwn,n=1,2...kr = R \times \cfrac{w}{{\displaystyle\sum_{n}^k}w_n} , n = 1,2... k
Variable
Definition
ww
Individual Score
f1f_1
Good Behaviour Factor #1
f2f_2
Good Behaviour Factor #2
α\alpha
Constant, determines weighting of
f1f_1
vs
f2f_2
αf2f1\downarrow\alpha\rArr \uparrow f_2 \downarrow f_1
αf2f1\uparrow\alpha\rArr\downarrow f_2 \uparrow f_1
Initial Value = 0.9, see reward plots
rr
Reward for individual
R
Total reward pool for epoch
nkwn{{\displaystyle\sum_{n}^k}w_n}
Sum of scores for everyone within a specific category (Creator/Curator/Collector)
Examples of Good Behaviour Factors
Text
Creators
Curators
Collectors
f1f_1
High # of listeners/epoch
High # of curated playlists
High Avg. Listens/Day
f2f_2
Revenue generated for the protocol
High total subscribed collectors
High Token spend on artist
Rewards of
f1f_1
and
f2f_2
for
α=0.9,0.5,0.1\alpha=0.9,0.5^*,0.1^*
*other values of
α\alpha
shown to display weight effect of
f1f_1
vs
f2f_2