Trust-Aware Feed Ranking for Scholarly Collaboration Networks
We study how follow edges, review quality, graph proximity and freshness can be blended into an explainable feed optimized for high-signal research discovery.
Community
Invite-only calibration circle for structured reviews, trust signals and moderation quality.
Membership
Operating style
Keep feedback concrete, declare conflicts and keep the signal-to-noise ratio high.
Independent circle
Community graph
Inspect pinned work, adjacent people and nearby institutions directly here before opening a wider graph slice.
invite only
Discussions
No discussion threads yet. The first precise question can set the tone.
Pinned papers
We study how follow edges, review quality, graph proximity and freshness can be blended into an explainable feed optimized for high-signal research discovery.
We propose ledger-based moderation records that improve accountability, appeals and policy learning in research products.
Reviews
No structured reviews yet. High-signal critique starts here.