NEAR Social Dashboard

    Analyzing NEAR.social Activity Using On-Chain Data

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    Introduction

    In recent years, the popularity of cryptocurrencies and blockchain technology has led to the development of various decentralized social media platforms. NEAR.social is one such platform that operates on the NEAR blockchain. NEAR.social is designed to provide users with a decentralized social media experience, allowing them to create profiles, post content, and interact with others on the blockchain. In this analysis, we will be exploring NEAR.social activity by analyzing the data recorded on-chain. By analyzing various user activities such as profile creations, post creations, follows and unfollows, and widget usage, we hope to gain insights into the growth and adoption of NEAR social, as well as identify areas for improvement in the user experience.

    Definitions

    Research Topic: Analyzing NEAR.social Activity Using On-Chain Data

    Related Terms:

    1. On-Chain Data: Data that is recorded directly on the blockchain.
    2. Profile Creations: The act of creating a user profile on NEAR.social.
    3. Post Creations: The act of creating a post on NEAR.social.
    4. Follows and Unfollows: The act of following or unfollowing another user on NEAR.social.
    5. Widget Creation: The act of creating a widget on NEAR.social.
    6. Widget Usage: The act of using a widget on NEAR.social.
    7. Widget Reusability: The ability to reuse a widget on NEAR.social.
    8. Growth: An increase in the number of users or activities on NEAR.social.
    9. Adoption: The acceptance and usage of NEAR.social by users.
    Profiles

    NEAR.social profiles are user accounts on the NEAR.social platform. They are created by users and stored on the NEAR blockchain, which makes them decentralized and secure.

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    Posts
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    Follows and Unfollows
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    Widgets
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    Based on the provided data, there are a total of 3,533 near.social profiles with an average of 3.24 daily edits per profile. The most edited profile sections are the name, image, description, backgroundImage, and tags, with the name section being the most edited at 3,508 times. On average, each profile has been edited 4.4 times.

    Additionally, there are three profiles that stand out with the most number of edits: rektdegen.near, toolipse.near, and rin.akaia.near, with 59, 58, and 57 edits respectively. However, it is not clear what these profiles are or what their significance is without further context.

    Overall, this data suggests that users on near.social are actively editing their profiles and focusing on sections related to personal branding, such as the name and image sections. The three profiles with the most edits could potentially be significant influencers or early adopters on the platform.

    "Main" posts are the primary posts created by users, while "Comment" posts are posts created in response to the main posts. The data suggests that users on near.social are not only creating their own original content, but also engaging with and commenting on the content created by others.

    The increasing trend in the post count over time could be an indication of the growing popularity of the platform or the increased engagement of users on the platform. This data provides valuable insights into the user behavior and activity on near.social and can be used to inform future development and growth strategies for the platform.

    "follows" and "unfollows" are actions that allow users to manage their subscriptions to other users' profile updates on near.social.

    It appears that there have been no unfollows on near.social since its launch. This could be due to a variety of factors, such as the platform's user interface and design, or the behavior of its users.

    Additionally, the data shows the profiles with the most followers on near.social. At the top of the list is the profile "auroraecosystemnews.near" with 791 followers, followed by "root.near" with 266 followers, "airdropanalyst.near" with 231 followers, "mob.near" with 210 followers, and "near" with 136 followers.

    This data can provide insights into the most popular profiles on the platform and could potentially inform future strategies for user engagement and growth on near.social.

    It appears that widget activity on near.social is slowly increasing over time. This trend could be indicative of growing user interest in the platform's widget functionality, as well as a desire for increased customization and personalization of user profiles.

    While the exact reasons behind this trend are difficult to determine without more data, it is possible that the gradual increase in widget activity could be due to a variety of factors, including:

    Improvements in the platform's user interface and widget design. An increase in the number and variety of widgets available to users. Growing user awareness of the benefits and potential uses of widgets on near.social.

    Conclusion

    In conclusion, we've learned about several key aspects of near.social, including its user base, profile editing activity, post types, and widget functionality. We've also explored some potential trends and insights based on this information.

    Overall, it appears that near.social is a growing social media platform with a dedicated user base and a range of features designed to promote engagement and customization. While there is still much to learn about the platform's long-term growth and development, the data we've examined suggests that it is well-positioned to continue expanding and evolving in the years ahead.