Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: Disclosed herein is a social media platform profile implementation that makes use of web3 objects. Social media profiles generate wishlists of digital objects. Those wishlists enable newsfeed population, social discovery and playing of platform games. The wishlists are verified by smart contract elements that limit players to the game and the conduct of those players in the wishlist game.

Abstract: Disclosed herein is a time-based leaderboard that ranks users based on a length of time each user has controlled or possessed a given digital object. The leaderboard includes customization options for purposes of user identification and identity connected to social network objects. The leaderboard further uses a staking feature where users provide their digital objects to universal wallets to hold for a predetermined period based on smart contract limitations. Staking improves leaderboard position. The leaderboard further enables expression and displayed of staked digital objects despite the user no longer having actual possession of the digital object. A digital object generator builds unique digital objects based on the user specific input. The unique digital objects are part of a graphic presentation to users.

Abstract: Disclosed herein is a time-based leaderboard that ranks users based on a length of time each user has controlled or possessed a given digital object. The leaderboard includes customization options for purposes of user identification and identity connected to social network objects. The leaderboard further uses a staking feature where users provide their digital objects to universal wallets to hold for a predetermined period based on smart contract limitations. Staking improves leaderboard position. The leaderboard further enables expression and displayed of staked digital objects despite the user no longer having actual possession of the digital object. A digital object generator builds unique digital objects based on the user specific input. The unique digital objects are part of a graphic presentation to users.

Abstract: Embodiments disclosed herein relate to user-centric security classifications of cryptographic token sets that represent a prediction of whether a token set is malicious. A user-centric security classification of a token set is generated according to user behaviors that characterize users involved with the token set, including users holding tokens of the token set and users creating tokens of the token set. A model is trained to recognize user behaviors of certain users whose involvement with the token set increase the likelihood that the token set is non-malicious and secure. Such user behaviors that the model is trained to recognize include high time-rank behaviors, or holding onto cryptographic tokens for extended lengths of time. Upon generation of a user-centric security classification for a token set, graphical displays of tokens or of the token set are updated to reflect the user-centric security classification.

Abstract: Disclosed herein is a time-based leaderboard that ranks users based on a length of time each user has controlled or possessed a given digital object. The leaderboard includes customization options for purposes of user identification and identity connected to social network objects. The leaderboard further uses a staking feature where users provide their digital objects to universal wallets to hold for a predetermined period based on smart contract limitations. Staking improves leaderboard position. The leaderboard further enables expression and displayed of staked digital objects despite the user no longer having actual possession of the digital object. A digital object generator builds unique digital objects based on the user specific input. The unique digital objects are part of a graphic presentation to users.