Coordination of directional relays in large-scale power systems that are multi-loop structured
is a complicated and time consuming problem. Therefore, determination of the directional …

In social networks, counting the number of different cycle sizes can be used to measure the
entropy of the network that represents its robustness. The exact algorithms to compute …

Recent work on social networks has tackled the measurement and optimization of these
networks' robustness and resilience to both failures and attacks. Different metrics have been …

Abstract Information-centric Networks (ICNs) offer a promising paradigm for the future
Internet to cope with an ever increasing growth in data and shifts in access models. Different …

Counting entropy of social networks is used to study the dynamic of such networks. It
depends on counting the number of cycles in the network, which is an NP problem. In this …

Recent models of complex networks rely on degree-based properties evaluation, a new
approach is proposed based on other microstructures existing in networks that are cycles …

Internal feedback structure exists in non-hierarchical random network in form of cycles.
Diffusion of information from a node to reach out all the rest occurs throughout penetration …

Complex networks can store information in form of periodic orbits (cycles) existing in the
network. This cycle-based approach although computationally intensive, it provided us with …

Due to the high vulnerability of today's social systems against disruptions, it has become
critical to measure and manage the robustness of social networks. In this study the …

We modify the statistical mechanical based Belief Propagation (BP) algorithm to compute
cycles in random networks using a phenomenological Gaussian distribution of cycles. The …