This document presents a model for dynamic socio-semantic networks and identifies key research challenges. The model represents social networks as weighted multi-graphs of members and their relationships, and content as multi-graphs of elements and relations. Authorship links members and content. Network dynamics include changes to members, relationships, content, and context over time. Research challenges involve discovering influential members and texts from network evolution data using interdisciplinary approaches that combine social science, linguistics and machine learning.