Researchers at the Carney Institute for Brain Science spill the tea about the complicated mental computations that allow ...

We consider distributed inference in social networks where a phenomenon of interest evolves over a given social interaction graph, referred to as the social digraph. We assume that a network of agents ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

Many data analysis applications rely on social networks that contain abundant information about individuals. Nevertheless, these applications can leak private information about individuals in social ...

This is the power of graph theory. However, graph theory doesn’t stop at social networks. It finds applications in everything from brain signal processing to solving Sudoku and airline scheduling.

Besides, the graph theory of the complex network identifies the topological structure of the network. Resting-state electroencephalogram (EEG) data were recorded for 66 patients with different ...

So what is ActivityPub? It’s a technology through which social networks can be made interoperable, connecting everything to a single social graph and content-sharing system.