This analysis gives insights into the behavior of nominators within
the polkadot network. Nominators are tracked across consecutive sessions
using their unique stash address. Within this dataset, each session
provides insight into the
bonded_amount and a list of
targets, representing the nominators’ selected nominations. This
approach enables a comparison between sessions, effectively monitoring
any changes that occur over time.
In this section, we examine the temporal fluctuations in both the bonded amount and the targets chosen by each nominator. This analysis helps to identify trends and patterns in the behavior of nominators over time.
The analysis primarily emphasizes the frequency of alterations in the bonded amount. It is essential to note that changes only take effect following a new election, which occurs every 6 sessions. To account for this, it is more meaningful to normalize the frequency on a “per era” basis rather than per session. In this context, if a nominator modifies their bonded amount once throughout 6 sessions, the frequency in the histogram is represented as 1. Conversely, if a nominator adjusts their bonded_amount every session, the frequency is denoted as 6.
There are a few outlier nominators who adjust their bonded amount with remarkable frequency. For the purpose of this analysis, we will concentrate on those with a frequency lying between 0 and 1, ensuring a more representative understanding of typical nominator behavior.
The subsequent graph illustrates the variations in bonded amount across sessions. The frequency displayed is in absolute terms, representing the total number of nominators who altered their bonded_amount within each individual session. This visualization helps to convey the overall trends and patterns in nominators’ behavior over time.