Sensemaking is widely acknowledged as providing valuable guidance on how individuals
and groups organize to perceive issues at stake, thereby lessening the negative impacts of …

The ability to identify and characterize not only the protein-protein interactions but also their
internal modular organization through network analysis is fundamental for understanding …

Exploiting the anonymous mechanism of Bitcoin, ransomware activities demanding ransom
in bitcoins have become rampant in recent years. Several existing studies quantify the …

Purpose: To analyze and categorize the scientific production in the field of digital marketing
in small and medium enterprises. Design/methodology/approach: We retrieved the …

Identifying communities in dynamic networks is essential for exploring the latent network
structures, understanding network functions, predicting network evolution, and discovering …

Our atomistic understanding of the physical–chemical parameters that drives the changes in
the relative stability of clusters induced by adsorbed molecules is far from satisfactory. In this …

Natural protected areas (NPAs) around the world play a crucial role in preserving Earth's
biodiversity. Ecological networks can be used to identify the close connections between …

Smart home has been widely used to improve the living quality of people. Recently, the
brain-computer interface (BCI) contributes greatly to the smart home system. We design a …

Community finding in large networks (or graphs) helps in understanding natural
collaboration within a set of members in the network. An intrinsic community is a form of …

Based on the Kuramoto model, a new network model, namely, the generalized Kuramoto
model with Fourier term, is introduced for studying community detection in complex …