Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction

This document is a clustered arXiv feed (multiple new and revised papers) focused on network and social-media modeling: a multimodal graph benchmark and model for social-media popularity prediction (MMG-Pop / MMG-PopNet); spectral and random-walk based methods for community detection in temporal networks; algorithms for inferring directed graph topology from diffusion dynamics; large-scale cross-corpus linkage of research and software (Science-Software Supply Chain); analyses of probabilistic temporal graphs and causal recovery; opinion-dynamics with competing media influence; and user-collab/