I've been recently interested in applying known algorithms in new "post-truth" contexts.
For example, Pagerank.
Pagerank is prone to manipulation, we all know that, but did you know you can overcome virtually all limitations by constraining it?
Just don't run it on the whole graph, but on a subgraph.
Who cares about the whole anyway? There is no whole, there is no global. Embrace it.
One user, one relevant subgraph. Seems like a lot of computations? Not really, not anymore.
Stay tuned because next week a new cool algorithm will be published. This time with functioning code!
pippellia / Pip the social graph guy
npub176…7vgup
2024-07-18 20:27:35
Author Public Key
npub176p7sup477k5738qhxx0hk2n0cty2k5je5uvalzvkvwmw4tltmeqw7vgupPublished at
2024-07-18 20:27:35Event JSON
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"content": "I've been recently interested in applying known algorithms in new \"post-truth\" contexts.\n\nFor example, Pagerank.\n\nPagerank is prone to manipulation, we all know that, but did you know you can overcome virtually all limitations by constraining it?\n\nJust don't run it on the whole graph, but on a subgraph.\n\nWho cares about the whole anyway? There is no whole, there is no global. Embrace it.\n\nOne user, one relevant subgraph. Seems like a lot of computations? Not really, not anymore.\n\nStay tuned because next week a new cool algorithm will be published. This time with functioning code!\n",
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