Detecting groups within a set of interconnected nodes is a widely addressed problem that
can model a diversity of applications. Unfortunately, detecting the optimal partition of a …

Many real-world systems can be modeled as directed networks, such as transportation,
social, collaboration or vocabulary networks. However, direction is often neglected or even …

Background: The search for new antimalarial treatments is urgent due to growing resistance
to existing therapies. The Open Source Malaria (OSM) project offers a promising starting …

Focal structure analysis explores the smallest possible sets of individuals can influence
maximum number of users in social networks. These sets of individuals, when coordinating …

With the power of social media being harnessed to coordinate events and revolutions across
the globe, it is important to identify the key sets of individuals that have the power to mobilize …

Waste management is an important issue in the field of green logistics. It has consequently
drawn the attention of the scientific community and has been extensively investigated over …

Community detection of network analysis plays an important role in numerous application
areas, in which estimating the number of communities is a fundamental issue. However …

Currently, community detection in complex networks has become a hot-button topic. In this
paper, based on the Spectral Clustering (SC) algorithm, we introduce the idea of Jacobi …

Comprehensive information on coauthorship from 2014 to 2018 was gathered from four top
statistical journals and subsequently cleaned to provide a review in the field from the …

Following the outbreak of the coronavirus epidemic in early 2020, municipalities, regional
governments and policymakers worldwide had to plan their Non-Pharmaceutical …