Rights accessRestricted access - publisher's policy
Graphs provide a natural data representation for analyzing the relationships among entities in many application areas. Since the
analysis algorithms perform memory intensive operations, it is important that the graph layout is adapted to take advantage of the memory hierarchy.
Here, we propose layout strategies based on community detection to improve the in-memory data locality of generic graph algorithms. We
conclude that the detection of communities in a graph provides a layout strategy that improves the performance of graph algorithms consistently over other state of the art strategies.
CitationPrat, A.; Dominguez, D.; Larriba, J. Social based layouts for the increase of locality in graph operations. "Lecture notes in computer science", 2011, vol. 6587, p. 558-569.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com