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gitcoin data feature.md

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to consider

empty repo count
missing feature - possiblity to derive?

recently added

Number of commits (query limited to original repo to fit API rate limit) Relationship between commits to other gitcoin users' repo (in separate file) Bio-fields authencity/effort(Number of profile fields populated)
Twitter - # of mentions to other (gitcoin user)
Twitter - # of times mentioned by other
Twitter - likes, rt count

evaluated

repo code complexity - possible, but needs to download repo file, so not useful because of API rate/bandwidth

Feature hierarchy:

[feature_source].[feature_set].[feature_name]

examples:
"gitcoin.co"."user_sybil"."sybil_likelihood"

"api.github.com"."reputation"."followers"

"manual_googlesheets"."joe"."favouriteicons_count"

Selection criteria:

  1. Coverage: data fields covering a significant amount of users are prefered

sparse features require more preparation effort to be useful, it is possible to include, maybe sometimes consider to derive/pca/merge sparse ones

  1. Battle-tested: Used in previous GR rounds

  2. Subject Matter Experts

  3. Industry anti-spam resources (curated list, blacklist, IP addresses)

  4. based on data source list (asked for it from dao members)

V0.1.1 feature name and datatype

[api.github.com] {"attribute":{"access":"public","API":"https://github.com/gitcoindao/SAD/blob/main/tests/data/extract_test.py"}}

  • Number of repos, int

  • Number of repos where fork=false, int

  • Followers, int

  • Followed, int

  • watchers, int

    #derived or row level

  • total issues (summary from all repos), int

  • highest open_issues_count of rep, int

  • total forks (summary from all repos), int

  • highest forks of rep, int

  • total stars (summary from all repos), int

  • highest stars of rep, int

  • language, size, created_at, pushed_at date of each repo

  • Is the user followed by an authenticated github account - and history

  • Most number of folders created across all repos, int

  • Most number of files created across all reposts, int

[onchain][tokennomics.io]

{"attribute":{"access":"public","API":"http://tokenomics.io/gitcoin","contact":"tjayrush"},"source_code":"https://github.com/TrueBlocks/tokenomics.io"}}

data lineage (grant id to wallet address): https://tokenomics.io/gitcoin/data/addresses.csv

endpoint here (https://gitcoin.co/api/v0.1/grants/?pk=<grant_id>)

  • wallet address

[gitcoin.co][behaviour]

{"attribute":{"access":"public","API":"https://gitcoin.co/grants/grants.json"}}

  • Registration, Date/Time
  • Last Activity, Date/Time
  • kudos collected, int
  • quest started, int
  • Quest finished, int
  • donation row level data (Address, grant, quantity, token, time)
  • hackathon started count, int
  • bounty started count, int
  • bounty finished count,int
  • hashed/salted IP Address row level/summary data (IP, date or first/last date range)
  • browsing row level data (type of url, date)
  • changed_default_preference, boolean
  • count of activities in each GR round data source TBD

[gitcoin.co][attributes]

  • Email domain (Inherit from Github), string
  • Feedback row level/summary
  • Built avatar, boolean
  • Job status, string
  • Location, string

{"attribute":{"access":"private", "data source":"MetaBase database"}}

where the gitcoin/github IDs have wallet addresses stored for each.

Other potential:

  • [gov.gitcoin.co]
  • [snapshot.org]
  • [withtally]
  • [Discord activity raw data]

rules

[user][self_defined_rules]

Some data rules already on https://www.daostewards.xyz/)

data lineage to provide

github_id <-> giticoin_id<-> grant_id <-> wallet_address mapping

discussed anomality features:

https://gitcoin.co/artkkk user deleting their activity feed (so contribution shows $0 funded?)

Repeat Worker score

Ref

[GR10 antifraud report blockscience] (https://medium.com/block-science/evaluating-the-anti-fraud-results-for-gitcoin-round-10-cec9277ce5b2) combined dialog with Omnianalytics, Disruption

internal Notion page of Anti-sybil workstream