Tackling complexity

Abstract In this conceptual article I aim to advance our understanding of digital genre networks in online science communication. Specifically, I develop genre theory by drawing on the meta-theory of complexity, which involves two highly influential interpretive frameworks, complexity theory and complex systems theory, and their related subfields, complex network theory and complex dynamic systems theory. I conceptualise digital genre networks as analogous to complex, dynamic systems, with their constituent genres acting as interconnected nodes that achieve specific social actions. I explain the theoretical and practical rationales behind this conceptual model and outline how to empirically demonstrate the structured heterogeneity and holistic behaviour of digital genre networks using several constructs from the meta-theory of complexity — non-linearity, adaptability, coevolution, self-organisation and dynamic interactions. The conceptual model also involves methodological developments, which I illustrate using case study research designs. Finally, I suggest some future directions for expanding the field of English for Research Publication Purposes and broader fields, and propose ways of training researchers who need or want to compose digital genre networks to increase the visibility and impact of their work.