How can semantic and social network analysis best uncover the otherwise elusive structures and processes over and underlying social media posts? This special edition of Frontiers in Research Metrics and Analytics <https://www.frontiersin.org/journals/research-metrics-and-analytics>, “Network Analysis of Social Media Texts,” explores contemporary methodologies and ideas in this evolving field, emphasizing the need for innovative strategies to analyze social media's content and impacts. Our focus spans various platforms and aims to enhance theoretical understanding and inform critical policy decisions. We invite researchers to contribute original studies employing diverse, cutting-edge supervised and unsupervised text analysis methods. A social benefit of your work may be lessening the negative effects and amplifying the positive aspects of social media interactions. All accepted research will be published in Open Access, ensuring global visibility. Furthermore, we are compiling a free eBook to provide an accessible, comprehensive overview of the latest advancements in this dynamic field. Join us in shaping the future of social media studies. Learn more and contribute your insights at http://fron.tiers.in/rt/41263. Deadline for Manuscript Submissions: April 14, 2024 Ke Jiang, James Danowski, and Weiai Wayne Xu are the editors.