This study analyses the sustainable entrepreneurship issues faced during the pre-seed and
seed phases of the life cycle of entrepreneurial ventures, which are considered the …

Multicriteria methods have gained traction in academia and industry practices for effective
decision-making. This systematic review investigates and presents an overview of multi …

The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

This is the first comprehensive overview of the'science of science,'an emerging
interdisciplinary field that relies on big data to unveil the reproducible patterns that govern …

Dynamic networks are used in a wide range of fields, including social network analysis,
recommender systems and epidemiology. Representing complex networks as structures …

Purpose The purpose of this paper is to explore the knowledge infrastructure of
methodological research on partial least squares structural equation modeling (PLS-SEM) …

Soil microbiota play a critical role in soil biogeochemical processes and have a profound
effect on soil functions. Recent studies have revealed microbial co-occurrence patterns in …

Networks provide a powerful formalism for modeling complex systems by using a model of
pairwise interactions. But much of the structure within these systems involves interactions …

Social network analysis (SNA) is a core pursuit of analyzing social networks today. In
addition to the usual statistical techniques of data analysis, these networks are investigated …