TopScore Alpha Feature Update: Reshape Your Web3 Reputation

The First Topology-Based Reputation Evaluating for Social Graph

Motivation

Most evaluations for social graph like Lens Protocol rely on the linear models,  a weighted sum of some basic indicators, , which brings several challenges:

🔸 Vulnerability to Attack

Simple models, particularly linear models with poor robustness, are vulnerable to attacks when exposed.

🔸 Quantity Bias

These models prioritize personal behavior over feedback from other users, which can lead to inaccurate predictions and fail to reflect the quality of behavior updates.

🔸 Indistinguishable Contributions

Linear models often fail to differentiate between identical behaviors from different individuals, leading to inaccuracies in predictions and decisions. For example, the following from a new user is equivalent to that from @Stani, and they are both simply counted once.

In response to these challenges, we have introduced some topological method to build the first evaluating for social reputation within TopScore:

✅ Quality Based

Personal behaviors are evaluated through the feedback integration from other users to provide rational and precise evaluations.

✅ Stronger Robustness 

With more advanced filtering capabilities, the model can accurately detect fraudulent behaviors, facilitating the identification of high-quality users.

✅ Automatically Matched Actions Weights

The same actions of individuals at varied levels will naturally receive matching weights without manual intervention.

✅ Improved Global Ranking and Fine-Grained Scoring

The model generates more reasonable global rankings and finer-grained scores, rendering it well-suited for diverse applications.

New Feature

TopScore is thrilled to announce its latest feature update, featuring numerous exciting additions aimed at enhancing your social evaluation experience. Here is a glimpse of what you can anticipate from our latest update:

🔥 Access Control

  • Analytics for any Lens profile are publicly accessible.

  • Exclusive access to the dashboard of any lens profile is reserved for premium users who hold our campaign NFTs.

Figure 1. Access all users on profile
Figure 1. Access all users on profile
Figure 2. Access users (premium only) on dashboard
Figure 2. Access users (premium only) on dashboard

🔥 Heat Charts

Our heat charts now include the average trends of the past 28 days, which offer a comprehensive overview of your Lens profile's performance. This new feature empowers you to make data-driven decisions with greater insight and precision.

Figure 3. Heat Charts in the last 28 days
Figure 3. Heat Charts in the last 28 days

🔥 Stacked Charts

Our stacked charts now feature an overview chart of engagements and collections, which provides a more intuitive and user-friendly way to visualize the trend of your profile's data. 

Figure 4. Overview Stacked Charts, per line per category
Figure 4. Overview Stacked Charts, per line per category
Figure 5. Engagements Stacked Charts, per line per comment/post
Figure 5. Engagements Stacked Charts, per line per comment/post
Figure 6. Collections Stacked Charts, per line per post
Figure 6. Collections Stacked Charts, per line per post

🔥 UI Optimization

  • Adjusting the display of ranks, scores, and indicators on the profile page

  • Optimizing the layout of the dashboard

  • Refining the display of TopScore NFTs

🔥 UX Optimization

  • Add more quick links and kits in the profile page
Figure 7. Display of Score, Rank, Links on Profile page
Figure 7. Display of Score, Rank, Links on Profile page
Figure 8. Display of Dashboard
Figure 8. Display of Dashboard

Experience TopScore

TopScore offers a transformative social evaluation experience through its advanced tools and reputation model, reshaping your approach to social media. Begin your journey today!👇🏼

🔗 TopScore:

About KNN3 Network

KNN3 Network is a one-stop Web3 User-centric DataFi solution for d/Apps and smart contracts. KNN3 allows d/Apps & smart contracts to interact with cross-platform user-centric data in multiple algo-friendly ways.

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