The “lazy influencer” is finished.Social media hierarchies stayed frozen for a decade. If a content creator hit a million followers in 2016, they owned that crowd. It was a closed system where huge ...

Last fall, we featured an extensive interview with Petter Törnberg of the University of Amsterdam, who studies the underlying mechanisms of social media that give rise to its worst aspects: the ...

Random graph models provide a mathematical framework for capturing the structure and dynamics of complex networks by assigning probabilistic rules to vertex connections. Classical models such as the ...

Exponential random graph models (ERGMs) have emerged as a principal statistical framework for representing and analysing the formation of ties within social networks. By expressing the probability of ...

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...

Abstract: Desirable random graph models (RGMs) should (i) reproduce common patterns in real-world graphs (e.g., powerlaw degrees, small diameters, and high clustering), (ii) generate variable (i.e., ...

Abstract: The evolutions in communication technologies demand high-performance processing units and reliable back- hauling lines for the management of vast data in wireless networks. A reliable ...

This research involving human participants complies with all relevant ethical regulations, including obtaining informed consent from all participants through the recruitment sites. Ethical review and ...