Zhou Xin
ABSTRACT
Social relationship analysis is the primary issue of numerous issues concerning social computing. In the traditional social relationship analysis, the attribute of social relation is regarded as objective and independent of the subjective cognition of the participant. However, in real life, there are always differences between the cognitions about the relationship attributes of the two parties involved in the relationship. In this paper, we research the strength of social relationships. And we utilize the content of the interactive language between individuals to depict and analyze the subjective cognition about the relationship strength from the two participants in the relationship and the asymmetry of this cognition. Based on the critical features of interactive language in the theory of social linguistics, this paper proposes four kinds of language features that can be used to describe the key features of interactive language, including frequency, length, fluency, and sentiment polarity. Through the discussion and distinction of the language habit differences and subjective cognitive differences, we verify the asymmetry of the emotional cognition about the relationship strength from the two participants in the relationship by using the email data after eliminating interference from the factor of individual language habits. The experimental results show that linguistic information is more accurate than topological information in expressing and describing social relations, and the information contained in the combination of them is more abundant, and the effect is better than using any kind of information alone.
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Index Terms
- Analysis of Social Interrelationship with Multi-Source Interactive Information
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