The COVID-19 pandemic has caused dramatic changes on a global scale. According to the
United Nations World Tourism Organization (2020), the restricted movement that has arisen …

In the recent years, building information modeling (BIM) has transformed the architecture,
engineering, and construction industry, and attracted attentions from both researchers and …

Abstract Graph Convolutional Networks (GCNs), aiming to obtain the representation of a
node by aggregating its neighbors, have demonstrated great power in tackling various …

The development of new technologies for mapping structural and functional brain
connectivity has led to the creation of comprehensive network maps of neuronal circuits and …

The science of science (SOS) is a rapidly developing field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Abstract The Coronavirus (COVID-19) outbreak has become one of the biggest threats to the
global economy and financial markets. This study aims to analyze the effects of COVID-19 …

Community detection is a fundamental problem in social network analysis consisting,
roughly speaking, in unsupervised dividing social actors (modeled as nodes in a social …

Graph-structured data arise naturally in many different application domains. By representing
data as graphs, we can capture entities (ie, nodes) as well as their relationships (ie, edges) …

Acute myeloid leukemia (AML) manifests as phenotypically and functionally diverse cells,
often within the same patient. Intratumor phenotypic and functional heterogeneity have been …

Purpose There is a little appreciation for the role network science can play in sustainable
tourism, and it is not quite clear to what extent generic models from the tourism network …