Rhyme enacts numerous relationships in poetic texts: relationships between words that share similar sounds; relationships between lines of verse that end in rhyming words; and relationships between the sound and semantic meaning of words that are linked together through rhyme. This panel brings together different approaches to using network analysis to understand the relationships that rhyme enacts in poetry in different language traditions. As the papers in this panel suggest, as one moves from considering rhyme’s function within a single poem to examining larger datasets, one can also consider how rhyme connects words, documents, and/or authors within a corpus. By juxtaposing papers focusing on poetry in Czech, English, Russian, and Spanish poetry, this panel highlights the fact that rhyme is defined differently in different linguistic and poetic contexts, due to the levels of inflection present in different languages and to the development of different poetic traditions. Some rhyme definitions focus on the shared stressed vowel of single syllables, others encompass polysyllabic rhyme, and others focus on component phonemes, rather than whole words. Thus computational approaches to rhyme must be tailored to the particular languages of the texts under study. The papers on this panel use different network analysis and graph visualization methods to examine rhyme at the level of the corpus or dataset, rather than the individual poem, in order to understand how rhyme practice changes over time, across languages, and in relation to literary canon formation. It thus contributes to both computational poetics and distant reading methodologies within the digital humanities.