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Unbiased sampling in directed social graph

Published: 30 August 2010 Publication History

Abstract

Microblogging services, such as Twitter, are among the most important online social networks(OSNs). Different from OSNs such as Facebook, the topology of microblogging service is a directed graph instead of an undirected graph. Recently, due to the explosive increase of population size, graph sampling has started to play a critical role in measurement and characterization studies of such OSNs. However, previous studies have only focused on the unbiased sampling of undirected social graphs. In this paper, we study the unbiased sampling algorithm for directed social graphs. Based on the traditional Metropolis-Hasting Random Walk (MHRW) algorithm, we propose an unbiased sampling method for directed social graphs(USDSG). Using this method, we get the first, to the best of our knowledge, unbiased sample of directed social graphs. Through extensive experiments comparing with the "ground truth" (UNI, obtained through uniform sampling of directed graph nodes), we show that our method can achieve excellent performance in directed graph sampling and the error to UNI is less than 10%.

References

[1]
Christo Wilson, Bryce Boe, Alessandra Sala, Krishna P. N. Puttaswamy and Ben Y. Zhao. User Interactions in Social Networks and their Implications. In Proc. of ACM EuroSys 2009.
[2]
Minas Gjoka, Maciej Kurant, Carter T Butts, Athina Markopoulou. Walking in Facebook: A Case Study of Unbiased Sampling of OSNs. In Proc. of IEEE Infocom, 2010.
[3]
Haewoon Kwak, Changhyun Lee, Hosung Park, Sue Moon. What is Twitter, a Social Network or a News Media?. In Proc. of WWW, 2010.
[4]
Stanford large network dataset collection:http://snap.stanford.edu/data/index.htm.

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  1. Unbiased sampling in directed social graph

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    Published In

    cover image ACM SIGCOMM Computer Communication Review
    ACM SIGCOMM Computer Communication Review  Volume 40, Issue 4
    SIGCOMM '10
    October 2010
    481 pages
    ISSN:0146-4833
    DOI:10.1145/1851275
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 30 August 2010
    Published in SIGCOMM-CCR Volume 40, Issue 4

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    Author Tags

    1. graph sampling
    2. online social network
    3. unbias

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