Visual analysis of semantic measuring of online social relationships

doi:10.3969/j.issn.0253-2778.2018.04.007

Abstract

Abstract: In the traditional social relationships analysis, the attribute of social relation is regarded as objective and independent of the subjective cognition of the participant. However, in the social computing studies related to subjective behaviors, subjective features are often more important than objective features. The semantics of social relationship with the interactive language between individuals is visualized. Based on The key features of the interactive language in the theory of social linguistics, four language features to describe the semantics of social relationships are calculated, including frequency, length, fluency and sentiment polarity. By measuring and distinguishing personal language habits, the semantic measuring of social relationship more appropriate. To make semantic measuring more understand, a visual analysis system is implemented for online social relationships using Email data as a case, and the factors related to the semantic features of online social relationships are priminarily analyzed.

Key words: social relationships analysis, social network, interactive language, visualization, semantic measuring

CLC Number:

TP391

WANG Yuan, SUN Yingjun, WANG Bo, YANG Chaozhou, YANG Liang. Visual analysis of semantic measuring of online social relationships[J]. Journal of University of Science and Technology of China, 2018, 48(4): 314-321.

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