docs/gitcoin-social-graph

apps/docs/docs/tutorials/gitcoin-social-networks.md

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+---
+title: Funding in a Social Network
+sidebar_position: 5
+---
+
+Analyze Gitcoin grants funding in a social network. New to OSO? Check out our [Getting Started guide](../get-started/index.md) to set up your BigQuery or API access.
+
+This tutorial combines Farcaster and Gitcoin data to to identify popular projects within a social network.
+
+## BigQuery
+
+If you haven't already, then the first step is to subscribe to OSO public datasets in BigQuery. You can do this by clicking the "Subscribe" button on our [Datasets page](../integrate/datasets/#oso-production-data-pipeline). For this tutorial, you'll need to subscribe to the Gitcoin and Karma3/OpenRank datasets. (You can also use the Farcaster dataset in place of OpenRank.)
+
+The following queries should work if you copy-paste them into your [BigQuery console](https://console.cloud.google.com/bigquery).
+
+### Identify popular projects within your social network
+
+```sql
+select distinct
+  donations.donor_address,
+  users.user_source_id as fid,
+  users.user_name as username,
+  donations.project_name,
+  amount_in_usd,
+  timestamp
+from `gitcoin.all_donations` as donations
+join `oso_production.artifacts_by_user_v1` as users
+  on lower(donations.donor_address) = users.artifact_name
+where
+  user_source = 'FARCASTER'
+  and users.user_source_id in (
+    with max_date as (
+      select max(date) as last_date
+      from `karma3.localtrust`
+    )
+    select cast(j as string) as fid
+    from `karma3.localtrust`
+    where i = 5650
+    order by v desc
+    limit 150
+  )
+```