AI tools used to generate, edit or contextualize social media posts can introduce hidden biases that spread through online ...

A new study has revealed how social media creators are turning anger into entertainment, and what that means for public debate. Research by Dr. Nicholas John from the University of Manchester and Dr.

Compartment models have been proposed in the 1920s as a model for the spread of an infectious disease in a society, in a famous article by Kermack and ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Erik Steiger discusses the operational pain ...

Amazon Web Services (AWS) has detailed a new cloud networking architecture based on random graph theory that it says is now the default fabric for its general-purpose cloud infrastructure worldwide.

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 ...

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 ...

Abstract: Heterogeneous graph neural networks (HGNNs) are effective for modeling multi-relational structured data. Existing HGNNs usually assume the training samples are relatively sufficient, thus ...

Before Facebook, Instagram, and TikTok became the giants of our digital lives, there was a vast ecosystem of social media platforms that once defined how people connected online. From odd niche ...

With the growing use of multiple social platforms, aligning user identities across networks, known as Social Network Alignment (SNA), has become ...