Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Latest commit

 

History

History
94 lines (90 loc) · 4.79 KB

File metadata and controls

94 lines (90 loc) · 4.79 KB

fid_features

Aggregates data about every user for the last 30 days. Unless otherwise specified, all column descriptions are based on the last 30 days.

Dune link

Updated every 24 hours

Column Type Description
fid INTEGER User id
user_registered_at TIMESTAMP Timestamp of account registration
user_address STRING User's associated Ethereum address
user_name STRING Username
user_pfp STRING User's profile picture URL
--- --- ---
follower_num INTEGER Number of followers
following_num INTEGER Number of following
--- --- ---
is_active BOOLEAN Any activity in the last 30 days
--- --- ---
casts_all_first TIMESTAMP Timestamp of first recorded cast ever
casts_all_last TIMESTAMP Timestamp of last recorded cast ever
casts_all_num INTEGER Number of casts (ever)
casts_all_del INTEGER Number of casts deleted (ever)
--- --- ---
casts30d_active_days INTEGER Number of days with some activity
casts30d_num INTEGER Number of casts
casts30d_num_in_channels INTEGER Number of casts in channels
casts30d_replies INTEGER Number of replies
casts30d_del INTEGER Number of casts deleted
casts30d_del_ratio INTEGER Ratio of deletions to casts
--- --- ---
channels STRING List of channels the user has casted in
--- --- ---
react_out_num INTEGER Number of reactions sent
react_out_del INTEGER Number of reactions deleted
react_out_likes INTEGER Number of likes sent
react_out_recasts INTEGER Number of recasts sent
react_out_ufids INTEGER Number of unique users whom the user has sent reactions to
react_out_del_ratio REAL Reaction delete ratio
--- --- ---
react_in_num INTEGER Number of reactions received
react_in_del INTEGER Number of reactions received then deleted
react_in_likes INTEGER Number of likes received
react_in_recasts INTEGER Number of recasts received
react_in_ufids INTEGER Number of unique users who reacted to the user
--- --- ---
replies_num INTEGER Number of replies received
replies_del INTEGER Number of replies received then deleted
replies_ufids INTEGER Number of unique users who replied to the user
--- --- ---
prefs_q_clear FLOAT Scores user preference for clear content
prefs_q_audience FLOAT Scores user preference for clear audience
prefs_q_info FLOAT Scores user preference for informative casts
prefs_q_easy FLOAT Scores user preference for easy to understand content
prefs_q_verifiable FLOAT Scores user preference for verifiable content
prefs_q_personal FLOAT Scores user preference for personal content
prefs_q_funny FLOAT Scores user preference for funny content
prefs_q_meme_ref FLOAT Scores user preference for meme references
prefs_q_emo_res FLOAT Scores user preference for emotional content
prefs_q_happiness FLOAT Scores user preference for happy sentiment content
prefs_q_curiosity FLOAT Scores user preference for content that triggers curiosity
prefs_q_aggressivity FLOAT Scores user preference for aggressive content
prefs_q_surprise FLOAT Scores user preference for content with an element of surprise
prefs_q_interesting_ask FLOAT Scores user preference for content that asks an interesting question
prefs_q_call_action FLOAT Scores user preference for content that calls to action
--- --- ---
prefs_c_arts FLOAT User preference for category: arts
prefs_c_business FLOAT User preference for category: business
prefs_c_crypto FLOAT User preference for category: crypto
prefs_c_culture FLOAT User preference for category: culture
prefs_c_misc FLOAT User preference for category: misc
prefs_c_money FLOAT User preference for category: money
prefs_c_na FLOAT User preference for category: na
prefs_c_nature FLOAT User preference for category: nature
prefs_c_politics FLOAT User preference for category: politics
prefs_c_sports FLOAT User preference for category: sports
prefs_c_tech_science FLOAT User preference for category: tech_science
--- --- ---
lang_1 STRING Primary language
lang_2 STRING Second language
--- --- ---
keywords STRING Top 50 words and frequencies in the user activity, including casts, recasts, likes and replies, weighted the same way as preferences
--- --- ---
time_reply REAL Average time to reply in hours
time_react REAL Average time to react in hours
spam_time REAL Average time to reply or react in hours
spam_daily_casts REAL Average number of casts per day
spam_delete_ratio REAL Ratio of deletes to actions across casts, replies and reactions
spam_time_flag BOOLEAN Flags accounts where the time between messages is below the 5th percentile
spam_daily_casts_flag BOOLEAN Flags accounts where messages per day is above the 95th percentile
spam_delete_ratio_flag BOOLEAN Flags accounts where deletes per day is above the 95th percentile
spam_any_flags INTEGER Flags accounts where any of the above 3 flags are true