The interest in modeling and analyzing human language with complex networks is on the
rise in recent years and a considerable body of research in this area has already been …

The transmission from offline activities to online activities due to the social disorder evolved
from COVID-19 pandemic lockdown has led to increase in the online economic and social …

In this paper, we define two quantitative distances to measure how far apart two languages
are. The distance measure that we have identified as more accurate is based on the …

Automatic identification of authorship in disputed documents has benefited from complex
network theory as this approach does not require human expertise or detailed semantic …

Word co-occurrence networks have been employed to analyze texts both in the practical and
theoretical scenarios. Despite the relative success in several applications, traditional co …

Eye movements have been examined as an index of attention and comprehension during
reading in the literature for over 30 years. Although eye-movement measurements are …

Multimodal transport is a critical component in developing the international trade economy,
and logistics service providers are a critical component in multimodal transport. However …

Abstract Ethnopharmacological relevance Jujuboside A (JuA) is a main active ingredient of
semen ziziphi spinosae, which can significantly reduce spontaneous activity in mammals …

The study of structure and dynamics of complex networks is seeking attention of academic
researchers and practitioners in recent years. Although Word Co-occurrence Networks …

The objective of this work is to set a corpus-driven methodology to quantify automatically
diachronic language distance between chronological periods of several languages. We …