Proceedings of the International Seminar on Computation, Communication and Control

Propagating Anti-TrustRank with Relationship Strength for Fighting Link Farming on Twitter

Authors
Shen Hua, Liu XinYue
Corresponding Author
Shen Hua
Available Online March 2015.
DOI
https://doi.org/10.2991/is3c-15.2015.5How to use a DOI?
Keywords
Anti-Trustrank; Social Spam; Relationship Strength.
Abstract
How to find the features of spammers and link structure is a fundamental issue in social networks. Existing work solves this problem by classification and ranking. However, these methods ignore relationship strength on edges, i.e., the weight between a pair of users. Then the challenge is how to effectively estimate the relationship strength given a pair of users. To tackle this challenge, the paper proposes a Poisson regression-based latent variable model to estimate relationship strength by jointly modelling users’ similarities and interactions’ frequency. Furthermore, Anti-Trust Rank with relationship strength algorithm is proposed to fight link farming on Twitter. Experimental results show that the proposed scheme can demote spammers and penalize uses that link to spammers effectively.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Seminar on Computation, Communication and Control (IS3C-15)
Part of series
Advances in Computer Science Research
Publication Date
March 2015
ISBN
978-94-62520-55-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/is3c-15.2015.5How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shen Hua
AU  - Liu XinYue
PY  - 2015/03
DA  - 2015/03
TI  - Propagating Anti-TrustRank with Relationship Strength for Fighting Link Farming on Twitter
BT  - International Seminar on Computation, Communication and Control (IS3C-15)
PB  - Atlantis Press
SP  - 19
EP  - 22
SN  - 2352-538X
UR  - https://doi.org/10.2991/is3c-15.2015.5
DO  - https://doi.org/10.2991/is3c-15.2015.5
ID  - Hua2015/03
ER  -