Finding Influentials Based on the User's Behavior in Microblogging

Chen Wang; Shu Qiao Chen

doi:10.4028/www.scientific.net/AMR.756-759.3061

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Finding Influentials Based on the User's Behavior...

Finding Influentials Based on the User's Behavior in Microblogging

Abstract:

Microblogging has emerged as a new medium for communication and offers an explicit mechanism of facilitating information diffusion. In this work, we construct two indicators which are activity of users and historical attention. By introducing the factor of the spread ability of the microblogs, we propose a novel user influence ranking algorithm (User Influence Rank). Compared through experiments with traditional algorithm, the proposed algorithm is effective.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3061-3064

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3061

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Online since:

September 2013

Authors:

Chen Wang, Shu Qiao Chen

Keywords:

Influence Ranking Algorithm, Micro-Blogging, User Influence, User Influence Rank

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References

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