Two new algorithms can help find networks within dynamic systems, with applications in financial, biological, engineered, and social networks.

Wireless network algorithms and broadcasting constitute a vibrant area of research that addresses the challenges of rapid, reliable and efficient communication in increasingly complex wireless ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks ...

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number of affected requests" (maxNAR) to measure worst-case attack impact, then ...

Niki Trigoni, Bhaskar Krishnamachari, Introduction: Sensor network algorithms and applications, Philosophical Transactions: Mathematical, Physical and Engineering Sciences, Vol. 370, No. 1958, Sensor ...

Algorithm provides networks with the most current information available while avoiding data congestion. For wireless networks that share time-sensitive information on the fly, it's not enough to ...

By using a neural network-based decoupling algorithm, the team was able to resolve spectral interference within the existing system, reducing both the complexity and cost of the design.

In contrast, we find the current network extremist intertwined and interacting with the surrounding social fabric, not with the logic of piety, which is usually used - in my opinion - outside its ...

A new approach to disentangling the complexities of biological networks, such as the way in which proteins interact in our body's cells has been developed. The new algorithm could allow biologists ...

A machine-learning algorithm, Weighted Graph Anomalous Node Detection (WGAND), has been developed to identify key proteins in human tissues by analyzing protein-protein interaction networks.