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  1. Proceedings of the 2012 ACM workshop on Workshop on online social networks (WOSN '12)
  2. Shortest paths in less than a millisecond
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Shortest paths in less than a millisecond

Content Provider ACM Digital Library
Author Godfrey, Philip Brighten Zhao, Ben Y. Caesar, Matthew Agarwal, Rachit
Abstract We consider the problem of answering point-to-point shortest path queries on massive social networks. The goal is to answer queries within tens of milliseconds while minimizing the memory requirements. We present a technique that achieves this goal for an extremely large fraction of path queries by exploiting the structure of the social networks. Using evaluations on real-world datasets, we argue that our technique offers a unique trade-off between latency, memory and accuracy. For instance, for the LiveJournal social network (roughly 5 million nodes and 69 million edges), our technique can answer 99.9 of the queries in less than a millisecond. In comparison to storing all pair shortest paths, our technique requires at least 550x less memory; the average query time is roughly 365 microseconds --- 430x faster than the state-of-the-art shortest path algorithm. Furthermore, the relative performance of our technique improves with the size (and density) of the network. For the Orkut social network (3 million nodes and 220 million edges), for instance, our technique is roughly 2588x faster than the state-of-the-art algorithm for computing shortest paths.
Starting Page 37
Ending Page 42
Page Count 6
File Format PDF
ISBN 9781450314800
DOI 10.1145/2342549.2342559
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-08-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Distance queries Social networks Graph databases Shortest paths
Content Type Text
Resource Type Article
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