Online social networks (OSNs) are structures that help users to interact, exchange, and
propagate new ideas. The identification of the influential users in OSNs is a significant …

Existing approaches to federated learning suffer from a communication bottleneck as well as
convergence issues due to sparse client participation. In this paper we introduce a novel …

Since computing advances in the last 30 years have allowed automated calculation of fractal
dimensions, fractals have been established as ubiquitous signatures of urban form and …

A number of predictors have been suggested to detect the most influential spreaders of
information in online social media across various domains such as Twitter or Facebook. In …

Social media plays a critical role in propagating emergency information during disasters.
Governmental agencies have opened social media accounts for emergency communication …

This article investigates the public debate over proposed US legislation designed to give
prosecutors and copyright holders new tools to pursue suspected online copyright …

Searching for influential spreaders in complex networks is an issue of great significance for
applications across various domains, ranging from epidemic control, innovation diffusion …

The impact of online social networking on daily life is extending beyond personal
boundaries, becoming a tool for financial activities and even public well-being. Interactions …

Social bots are referred to as the automated accounts on social networks that make attempts
to behave like humans. While Graph Neural Networks (GNNs) have been massively applied …

We empirically analyze five online communities: Friendster, Livejournal, Facebook, Orkut,
and Myspace, to study how social networks decline. We define social resilience as the ability …