In this dashboard, we analyzed the data of the Near Social network. We tried to examine different data related to user transactions and behaviors on this network and monitor their changes. In general, the most important findings in various sections of this dashboard are summarized below.

Accounts
- More than 6,000 users have logged in to this network.
- More than 3,000 users have created profiles.
- More than 2,000 users have edited their profiles.
Following & Follower
- Most of the transactions are related to following users rather than unfollowing them.
- The user `auroraecosystemnews.near ` has the highest number of followers with 692 followers.
- User `irfi.near` also has the highest number of followeing.
Post & Comment
- The total number of posts is higher than the total number of comments.
- On some days, the number of comments is higher than the number of posts, indicating that sometimes user interaction around a topic may exceed the production of posts by users.
- Overall, more than 3,500 posts have been published.
- Overall, more than 2,300 comments have been published.
Likes
- Users are more likely to like posts than dislike them.
- Overall, more than 6,000 likes have been given to posts.
- The top ten posts in terms of the number of likes account for more than thirty percent of all likes given.
- The number of followers directly affects the number of likes received.
- More than a thousand likes have been given to comments.
- The top ten comments in terms of the number of likes account for more than forty percent of all likes given.
Widget
- The total number of widgets created is more than 1,900.
- More than 289 users have created widgets.
- More than 13,000 transactions of editing widgets have been performed.
- More than "169 users have edited their widgets.
Network Analysis
- In this section, we attempted to analyze the communication network graph of users using GEPHI.
- The word cloud of posts and comments was displayed in this section.
- To create a word cloud for a specific user or a specific period, you can use this link.
- To obtain the network around a particular user, you can use this link.
Technical
- Describing the conditions used in queries and the notes that have an impact on the accuracy of the results obtained.

The Near Social network has tried to provide a blockchain-based communication platform using blockchain technology. This social network, which uses the Near blockchain to store data, has been able to offer a new approach to the use of social networks. It should be noted that unlike traditional social networks such as Facebook and Twitter, where user data is stored by platform owners, and analyzing user behavior is either impossible or requires special access provided by these companies. In Near Social, however, because all user behaviors on this network are stored in the blockchain, there is the possibility of different people accessing the complete analysis of user behavior. Therefore, if the users of this network reach a significant number, it can be a good source for researchers to examine society's behaviors and reactions to various issues.

It should be noted that due to the permanent retention of transactions in the blockchain, special measures must be taken to prevent the dissemination of some content, such as hate speech, on this network. It is true that in case of violation of the platform's rules, the platform can remove content from people's access, but due to the registration of this data in the blockchain, such content is permanently accessible and available to other people.

The first interesting use that came to mind when encountering Near Social was the use of this permanent registration feature by individuals and groups who wish to document their content. Imagine an author publishes their writings on this network, if their work is plagiarized, it can easily be traced back to the original creator. Furthermore, individuals can present their ideas on this network and have a reliable source to prove ownership in case of intellectual property infringement. However, such usage requires extensive technical and legal discussions that are beyond my knowledge and expertise. It is only an initial idea for using a social network on the blockchain, which I would like to share with others.

FINAL CONCLUSION

Based on the results obtained and the structure of Near Social, it can be said that due to the different nature of this social network compared to traditional social networks like Facebook, it is not possible to compare the growth and activity of users in this network with other networks. It seems that this network can have a special appeal to certain groups of users such as writers and programmers, and as a social network on a blockchain platform, by offering special features specific to this technology, it can create superiority over other social networks. According to the data obtained, it can be said that this network faced significant growth in March. If it can provide a more attractive appearance for use, it may have a successful future as a social network on the blockchain platform.

Near Social Network Analysis