Linking Multiple Identities in Online Social Networks Based on Co-Occurrence Analysis

Dong Liu; Quan Yuan Wu; Wei Hong Han

doi:10.4028/www.scientific.net/AMM.713-715.2257

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Linking Multiple Identities in Online Social...

Linking Multiple Identities in Online Social Networks Based on Co-Occurrence Analysis

Abstract:

When tackling the problem of mining multiple fake identities which are controlled by the same individual in internet, traditional techniques used to analyze the posted comments using text-based methods. However, these texts are always in colloquial style which make the effect may not be as obvious as expected. In this paper a new multiple identities linking algorithm is proposed based on the fine-grained analysis of co-occurrence degree of user accounts using sliding window model. Finally, a series of experiments show the effectiveness of our proposed method.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2257-2260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2257

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Online since:

January 2015

Authors:

Dong Liu*, Quan Yuan Wu, Wei Hong Han

Keywords:

Co-Occurrence Analysis, Multiple Identities, Online Social Network

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* - Corresponding Author

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