Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

The modern science of networks has made significant advancement in the modeling of
complex real-world systems. One of the most important features in these networks is the …

The urgency of estimating the impact of climate risks on the financial system is increasingly
recognized among scholars and practitioners. By adopting a network approach to financial …

The failure of a power system as a critical infrastructure causes considerable damage to
society. Hence, the vulnerabilities of such facilities should be minimized to cope with several …

Detecting and analyzing dense groups or communities from social and information networks
has attracted immense attention over the last decade due to its enormous applicability in …

Gaussian boson sampling (GBS) is a near-term platform for photonic quantum computing.
Recent efforts have led to the discovery of GBS algorithms with applications to graph-based …

The scarcity of natural resources, rising energy prices and strict environmental policies are
incentives for the food industry to reform current production strategies. As part of this shift …

Modern social media are becoming overloaded with information because of the rapidly-
expanding number of information feeds. We analyze the user-generated content in Sina …

It is common in the study of networks to investigate intermediate-sized (or “meso-scale”)
features to try to gain an understanding of network structure and function. For example …