Ranking Tweets Considering Trust and Relevance

Details Ranking Tweets Considering Trust and Relevance Ranking Tweets Considering Trust and Relevance

2012-04-01

arxiv.org/abs/1204.0156v1

Computer Science

Social and Information Networks

four pages short paper

Scientific paper

The increasing popularity of Twitter and other microblogs makes improved trustworthiness and relevance assessment of microblogs evermore important. We propose a method of ranking of tweets considering trustworthiness and content based popularity. The analysis of trustworthiness and popularity exploits the implicit relationships between the tweets. We model microblog ecosystem as a three-layer graph consisting of : (i) users (ii) tweets and (iii) web pages. We propose to derive trust and popularity scores of entities in these three layers, and propagate the scores to tweets considering the inter-layer relations. Our preliminary evaluations show improvement in precision and trustworthiness over the baseline methods and acceptable computation timings.

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