… Due to the existence of social network relationships among experts, social network analysis
… -based resolution framework with linguistic distribution (LD) for social network large-scale …

… k = − T T β k = 1 be a distribution assessment of S . The expectation of m is defined as follows:
(1) E ( m ) = ∑ k = − T T β k s k The distribution linguistic term set was regarded an useful …

… In Section 4, based on the probability linguistic trust … probabilistic linguistic GDM method
under a social network environment… We can regard PLEs as discrete, full probability distributions …

… in linguistic style. We discuss the implications of the coevolution of linguistic styles and
social networks, … count was 3, indicating a highly skewed distribution. As is typical of large-scale …

… The growth of global electricity demand has put forward higher requirements for power
distribution networks. The high cost of the large-scale power system and the voice for the use of …

… Thus, this study first proposes a social network consensus … a linguistic distribution assessment
approach to represent their opinions. Second, an opinion evolution-based social network …

… , Wikipedia, as well as social networks, in order to classify a … the text, and use linguistic
features of the resulting articles, as … In Figure 3 we show the cosine similarity distribution of the …

… Besides, as a methodological contribution, this study proposes a computational linguistics
model based on the latest deep learning techniques to analyze students’ forum posts. This …

… Therefore, it is necessary to adopt a social network … in reaching consensus based on social
network among experts, this … within the probabilistic linguistic and social network context. The …

… of research in computational linguistics; yet, its impact in theoretical linguistics has so far
been … and results that are relevant for theoretical linguistics, in three areas: semantic change, …