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An important aspect of communication in Twitter (and other Social Network is message propagation -- people creating posts for others to share. Although there has been work on modelling how tweets in Twitter are propagated (retweeted), an untackled problem has been <b>who</b> will retweet a message. Here we consider the task of finding who will retweet a(More)
The key issue of person name disambiguation is to discover different namesakes in massive web documents rather than simply cluster documents by using textual features. In this paper, we describe a novel person name disambiguation method based on social networks to effectively identify namesakes. The social network snippets in each document are extracted.(More)
There are two key issues for information diffusion in blogosphere: (1) blog posts are usually short, noisy and contain multiple themes, (2) information diffusion through blogosphere is primarily driven by the " word-of-mouth " effect, thus making topics evolve very fast. This paper presents a novel topic tracking approach to deal with these issues by(More)
We consider the problem of automatically assessing Wikipedia article quality. We develop several models to rank articles by using the editing relations between articles and editors. First, we create a basic model by modeling the article-editor network. Then we design measures of an editor's contribution and build weighted models that improve the ranking(More)
In this paper we investigate information propagation in Twitter from the geographical view on the global scale. An information propagation phenomenon what we call "information current" has been discovered. According to this phenomenon, we propose a hypothesis that changes of information flows may be related to real-time events. Through analysis of retweets,(More)
As a typical social media in Web 2.0, blogs have attracted a surge of researches. Unlike the traditional studies, the social networks mined from Internet are very large, which makes a lot of social network analyzing algorithms to be intractable. According to this phenomenon, this paper addresses the novel problem of efficient social networks analyzing on(More)
Applying graph clustering algorithms in real world networks needs to overcome two main challenges: the lack of prior knowledge and the scalability issue. This paper proposes a novel method based on the topological features of complex networks to optimize the clustering algorithms in real-world networks. More specifically, the features are used for parameter(More)
Retweeting is the core mechanism of information diffusion on Twitter, few studies have investigated the subjective motivation of a user to retweet a message. In this paper, in light of psychological theory, we assume that a tweet is more likely to be retweeted by a user because of similar subjectivity and propose a subjectivity model to combine both the(More)
Dataset interlinking is a great important problem in Linked Data. We consider this problem from the perspective of information retrieval in this paper, thus propose a learning to rank based framework, which combines various similarity measures to retrieve the relevant datasets for a given dataset. Specifically, inspired by the idea of collaborative(More)