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Eclecticism shrinks even small worlds
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Source Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing table of contents
St. John's, Newfoundland, Canada
SESSION: Networks graphs and network algorithms table of contents
Pages: 169 - 178  
Year of Publication: 2004
ISBN:1-58113-802-4
Authors
Pierre Fraigniaud  University Paris-Sud & INRIA, France
Cyril Gavoille  University of Bordeaux & CNRS, France
Christophe Paul  University of Montpellier, France
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 13,   Citation Count: 10
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ABSTRACT

We consider small world graphs as defined by Kleinberg (2000), i.e., graphs obtained from a d-dimensional mesh by adding links chosen at random according to the d-harmonic distribution. This model aims at giving formal support to the "six degrees of separation" between individuals experienced by Milgram (1967),and verified recently by Dodds, Muhamad, and Watts (2003). In particular, Kleinberg shows that greedy routing performs in O(log2n) expected number of steps in d-dimensional augmented meshes, with O(log2n) bits of topological awareness per node, for any constant d ≥ 1. We show that giving O(log2n) bits of topological awareness per node decreases the expected number of steps of greedy routing to O(log1+1/dn) in d-dimensional augmented meshes. We also show that, independently of the amount of topological awareness given to the nodes, greedy routing performs in Ω(log1+1/dn) expected number of steps. In particular, augmenting the topological awareness above this optimum of O(log2n) bits would drastically decrease the performances of greedy routing. Moreover, our model demonstrates that the efficiency of greedy routing is sensible to the "world's dimension", in the sense that high dimensional worlds enjoy faster greedy routing than low dimensional ones. This could not be observed in Kleinberg's model. In addition to bringing new light to Milgram's experiment, our protocol presents several desirable properties. In particular, it is totally oblivious i.e., there is no header modification along the path from the source to the target, and the routing decision depends only on the target, and on information stored locally at each node. Finally, our protocol can obviously be used for the design of DHTs, in the same spirit as Symphony (2003).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Adamic and E. Adar. How To Search a Social Network. Tech. Report HP Labs, Palo Alto, 2003.
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J. Kleinberg. Navigation in a Small-World. Nature 406:845, 2000.
 
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J. Kleinberg. Small-World Phenomena and the Dynamics of Information. In 15th Neural Information Processing Systems (NIPS), 2001.
 
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E. Lebhar and N. Schabanel. Searching for Optimal paths in long-range contact networks. In 31st International Colloquium on Automata, Languages and Programming (ICALP), 2004.
 
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G. Manku, M. Bawa, and P. Raghavan. Symphony: distributed hashing in a small world. In 4th USENIX Symp. on Internet Technologies and Systems, pages 127--140, 2003.
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S. Milgram. The Small-World Problem. Psychology Today, 60--67, 1967.
 
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D. Watts, P. Dodds, and M. Newman. Identity and Search in Social Networks. Science 296:1302--1305, 2002.
 
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D. Watts and S. Strogatz. Collective Dynamics of Small-World Networks. Nature 393:440--442, 1998.

CITED BY  10

Collaborative Colleagues:
Pierre Fraigniaud: colleagues
Cyril Gavoille: colleagues
Christophe Paul: colleagues