[HTML][HTML] Networks behind the morphology and structural design of living systems

M Gosak, M Milojević, M Duh, K Skok, M Perc - Physics of Life Reviews, 2022 - Elsevier
Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges

M Stella, S Citraro, G Rossetti, D Marinazzo… - Psychonomic Bulletin & …, 2024 - Springer
The mental lexicon is a complex cognitive system representing information about the
words/concepts that one knows. Over decades psychological experiments have shown that …

Multilayer brain networks

M Vaiana, SF Muldoon - Journal of Nonlinear Science, 2020 - Springer
The field of neuroscience is facing an unprecedented expanse in the volume and diversity of
available data. Traditionally, network models have provided key insights into the structure …

Multiplex lexical networks reveal patterns in early word acquisition in children

M Stella, NM Beckage, M Brede - Scientific reports, 2017 - nature.com
Network models of language have provided a way of linking cognitive processes to
language structure. However, current approaches focus only on one linguistic relationship at …

Link prediction on Twitter

S Martinčić-Ipšić, E Močibob, M Perc - PloS one, 2017 - journals.plos.org
With over 300 million active users, Twitter is among the largest online news and social
networking services in existence today. Open access to information on Twitter makes it a …

Structural analysis of factual, conceptual, procedural, and metacognitive knowledge in a multidimensional knowledge network

Đ Vukić, S Martinčić-Ipšić, A Meštrović - Complexity, 2020 - Wiley Online Library
Discovering the most suitable network structure of the learning domain represents one of the
main challenges of knowledge delivery and acquisition. We propose a multidimensional …

Vulnerability effects of passengers' intermodal transfer distance preference and subway expansion on complementary urban public transportation systems

L Hong, Y Yan, M Ouyang, H Tian, X He - Reliability Engineering & System …, 2017 - Elsevier
The vulnerability studies on urban public transportation systems have attracted growing
attentions in recent years, due to their important role in the economy development of a city …

SAO2Vec: Development of an algorithm for embedding the subject–action–object (SAO) structure using Doc2Vec

S Kim, I Park, B Yoon - Plos one, 2020 - journals.plos.org
In natural-language processing, the subject–action–object (SAO) structure is used to convert
unstructured textual data into structured textual data comprising subjects, actions, and …

A survey on different dimensions for graphical keyword extraction techniques: Issues and challenges

M Garg - Artificial Intelligence Review, 2021 - Springer
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 …

The influence of feature representation of text on the performance of document classification

S Martinčić-Ipšić, T Miličić, L Todorovski - Applied Sciences, 2019 - mdpi.com
In this paper we perform a comparative analysis of three models for a feature representation
of text documents in the context of document classification. In particular, we consider the …