Create a dashboard using the new NEAR.social schema. Break out and document the activity happening on NEAR.Social. Some suggested topics to look at in your dashboard:

• Profile creations, edits
• Post creations, responses
• Follows and unfollows
• Widget creation, usage and reusability

Don't be limited by the items above. Feel free to dive into any of the other meaningful actions being recorded on-chain and can help map growth and adoption of NEAR social.

👋Contact

Hello, my name is Zana and I am currently working as a data analyst for MetricDao and Flipside, where I focus on analyzing blockchain and cryptocurrency. My background in information technology, combined with my master's degree, has given me a strong foundation in data analysis and natural language processing. In my free time, I enjoy programming, exploring artificial intelligence, and playing video games. I am passionate about using technology to find solutions and make a positive impact.

Twitter
Discord: ZSaed#2204
Email: zanasaedpanahflipside@gmail.com

In this dashboard, we focus on analyzing the Near social network. We have extracted and analyzed various data from this network that is stored in the Near blockchain as much as possible and is useful for this analysis. The different parts of this dashboard can be divided into the following items:

1. Start

   • Introducing different sections of the dashboard.

2. Accounts

   • Examining the statistics of created accounts.

3. Followers and Followings

   • Examining the data of users' followers and followings.

4. Posts & Comments

   • Examining the statistics of posts & Comments that are published on this network.

5. Likes

   • Reviewing the likes received for posts and comments.

6. Widgets

   • Statistical analysis of the created widgets.

7. Network Analysis

   • Examining the network relationship graph of users.

   • Presenting word clouds for comments and posts.

   • Analyzing the relationship graph of a particular user.

8. Conclusion

   • Providing a summary of the results obtained in different sections.

9. Technical

   • Describing the conditions used in queries and the notes that have an impact on the accuracy of the results obtained.