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Our trust always changes due to various conditions. We call it dynamics of trust. Researching about the change of trust is a necessary task because it could be applied into diverse applications such as trust-based recommendation systems. In this paper, our target is to i) propose a general definition of trust, ii) define temporal and spatial patterns for representing how trust changes. They can be...
In recent years, many social network services have made lots of business models. However, it has big weakness related with personal information spill or attacks from spammers. There are many conventional approaches about spammer detection. Almost the whole studies suggest solutions by using vertex degrees or Local Clustering Coefficient. However, they have been caused false positive results. In other...
The nature characteristics of data in Social Network Services (SNS) are usually short, contain insufficient information, and often are influenced by noise data, thus popular Named Entity Recognition (NER) methods applied for these data could provide wrong results even if they perform well on well-format documents. Most of NER methods are based on supervised learning techniques which often require...
Understanding customers' opinion and subjectivity is regarded as an important task in various domains (e.g., marketing). Particularly, with many types of social media (e.g., Twitter and FaceBook), such opinions are propagated to other users and might make a significant influence on them. In this paper, we propose a fuzzy propagation modeling for opinion mining by sentiment analysis of online social...
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