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Benchmarking link analysis ranking methods in assistive environments

Published: 06 June 2012 Publication History

Abstract

Several assistive applications exhibit a network structure. Characterizing the structure of such networks is critical in many assistive applications. Existing methods in the of social network analysis aim to detect, analyze, and summarize interesting or surprising components and trends in the network. In this paper, we provide a benchmark of two graph ranking methods: pagerank and HITS. The methods are tested on real social network data from three different domains: citation graphs, road networks, and a subgraph of Google. Our findings suggest that the quality of the ranking as well as the speed of convergence of both algorithms highly depends on the underlying network structure.

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  1. Benchmarking link analysis ranking methods in assistive environments

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    cover image ACM Other conferences
    PETRA '12: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
    June 2012
    307 pages
    ISBN:9781450313001
    DOI:10.1145/2413097

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    • U of Tex at Arlington: U of Tex at Arlington

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 06 June 2012

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    Author Tags

    1. American sign language
    2. link analysis ranking
    3. network analysis
    4. social networks

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