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Managing Large Dynamic Graphs Efficiently

Summary: Proposes an in-memory, distributed graph DB for large, dynamic graphs with low-latency queries. Key ideas: adaptive hybrid replication (read-write driven, eager vs lazy), clustering-based cost amortization, and a fairness-driven replication policy, implemented as CouchDB middleware with substantial bandwidth reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4519
Venue
SIGMOD
Year
2012
Pagerank
7.336861e-05
Overall Rank
3,232 | 77.52%
DOI
-

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