UM  > 科技學院  > 電腦及資訊科學系
Faster random walks by rewiring online social networks on-the-fly
Zhou Z.3; Zhang N.3; Gong Z.2; Das G.4
2013-08-15
Conference Name29th IEEE International Conference on Data Engineering (ICDE)
Source PublicationProceedings - International Conference on Data Engineering
Pages769-780
Conference DateBrisbane, AUSTRALIA
Conference PlaceAPR 08-12, 2013
Abstract

Many online social networks feature restrictive web interfaces which only allow the query of a user's local neighborhood through the interface. To enable analytics over such an online social network through its restrictive web interface, many recent efforts reuse the existing Markov Chain Monte Carlo methods such as random walks to sample the social network and support analytics based on the samples. The problem with such an approach, however, is the large amount of queries often required (i.e., a long "mixing time") for a random walk to reach a desired (stationary) sampling distribution. In this paper, we consider a novel problem of enabling a faster random walk over online social networks by "rewiring" the social network on-the-fly. Specifically, we develop Modified TOpology (MTO)-Sampler which, by using only information exposed by the restrictive web interface, constructs a "virtual" overlay topology of the social network while performing a random walk, and ensures that the random walk follows the modified overlay topology rather than the original one. We show that MTO-Sampler not only provably enhances the efficiency of sampling, but also achieves significant savings on query cost over real-world online social networks such as Google Plus, Epinion etc. © 2013 IEEE.

DOI10.1109/ICDE.2013.6544873
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000326733500067
Fulltext Access
Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Qatar Computing Research Institute
2.Universidade de Macau
3.George Washington University
4.University of Texas at Arlington
Recommended Citation
GB/T 7714
Zhou Z.,Zhang N.,Gong Z.,et al. Faster random walks by rewiring online social networks on-the-fly[C],2013:769-780.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhou Z.]'s Articles
[Zhang N.]'s Articles
[Gong Z.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou Z.]'s Articles
[Zhang N.]'s Articles
[Gong Z.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou Z.]'s Articles
[Zhang N.]'s Articles
[Gong Z.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.