## 4 User-Centric Multiple Incentive Mechanism
### Participation Assessment Algorithm
#### 4.2.3 The Quality of Content  
The value enhancement brought to the OSM by high-quality content is immeasurable. To incentivize the publication of high-quality content and increase the earnings of creators of premium content, the design of the participation assessment algorithm incorporates the quality of the content published by users as a crucial criterion for assessing their participation level. The higher the quality of the content published, the greater the value contributed to the system, and thus, the higher the PV reward conferred to the user.  
In BOSM, the quality of content is measured by its popularity. The content popularity is calculated based on the reactions from other users within a certain period after the content is published. The calculation of content popularity includes two components: shares and ratings. The measurement begins from the moment the content is published by the user and continues until the evaluation period ends. After an evaluation period, users can earn quality participation (\(QP\)) from the content they have published.  
\[\left\{\begin{array}{l}SP=\sum_{1}^{n_{3}}\alpha_{share}\times share_{i}\\ RP=\sum_{1}^{n_{4}}\alpha_{rating}\times rating_{i}\times\log\Bigl{(}\frac{ rating_{num}}{rating_{thresh}}\Bigr{)}\\ QP=\frac{SP+RP}{T_{epoch}}\end{array}\right. \tag{3}\]  
The \(QP\) consists of the share participation (\(SP\)) reward and the rating participation (\(RP\)) reward within the evaluation period (\(T_{epoch}\)). In the \(SP\), \(n_{3}\) represents the number of pieces of content published by the user that have been shared, and \(\alpha_{share}\) is the coefficient for calculating the share participation value.  
In the rating participation reward (\(RP\)), the term \(rating_{i}\) represents the average rating value given by other users, \(rating_{num}\) represents the number of times the content has been rated, and \(\alpha_{rating}\) is the coefficient corresponding to the rating value. In the rating calculation process, whether a large number of users have evaluated the content is a reflection of the content's popularity, and also indicates the objectivity and fairness of the rating. Therefore, it is necessary to consider both the value of the rating and the number of users who have rated the content. A logarithmic function is used in the calculation, and only when the number of ratings exceeds \(rating_{thresh}\) is the rating considered valid.  
The \(QP\) calculation is conducted within the evaluation period (\(T_{epoch}\)) set by the platform, where the length of the period is measured in the number of blocks. The tipping and rating activities of users during the period reflect the popularity of the published content, and the content's quality is assessed based on its popularity.  
Thus, the user participation assessment algorithm in the NexoNet comprises three components, corresponding to publishing content, purchasing content, and content quality. Every time a new block is to be generated successfully by consensus mechanism, all the maintainers in the blockchain will calculate the \(PV\) of every user in the NexoNet using the participation assessment algorithm.  
\[PV=GCP+PP+QP \tag{4}\]  
This trifold approach assesses and quantifies the participation of each user in the NexoNet; incentivizes user to actively participate in by encouraging active publication and the purchasing of works; and the creation of high-quality content, facilitating user to obtain greater PV reward.