First and foremost, this project would not be possible to undertake if it were not for the increasingly popular ‘move’ towards digitisation in the field of Humanities. The digitisation of libraries and galleries allows invaluable and often fragile documents to be studied without handling and potentially damaging them. This in fact increases their longevity and subsequently their historical value, not to mention that it significantly speeds up the ‘flow’ of information communication so crucial in the ‘digital age’. This paper works with a full-text digital resource called ‘Фундаментальная электронная библиотека “Русская литература и фольклор”’ (ФЭБ) (Fundamental Digital Library of Russian Literature and Folklore (FEB)). Creators of this fascinating Digital Humanities (DH) project present it in the following way: ‘FEB-web accumulates information in text, audio, visual, and other forms on 11th-20th-century Russian literature, Russian folklore, and the history of Russian literary scholarship and folklore studies. FEB-web is, first and foremost, a repository of primary, secondary, and reference texts. It is also an effective instrument for analyzing these texts. Presenting texts in digital form via a state-of-the-art user interface makes it possible for professional scholars and other users to work with texts in a fundamentally new way. Our Library was given the name “Fundamental” because it is designed to provide an exhaustive and comprehensive body of materials on Russian literature and folklore. Naturally, this cannot be achieved overnight: FEB-web is a dynamic system that develops in concert with the profession it serves.’ Despite the fact that FEB-web enables access to an immense amount of information about Sergei Yesenin it needs to be stressed that this paper unfortunately cannot deal with all the letters written by the poet due to the fact that only a limited number of them is known: ‘Not all of Yesenin’s letters have reached us. However, their identification and discovery continues to this day and without a doubt, it is not finished. By publishing the current volume of comprehensively commented Yesenin’s letters, the editorial board has no doubt that for readers and researchers of Yesenin’s work, this publication will serve as a further stimulus for an in-depth study of the epistolary of the poet as well as a ‘search tool’ for his unknown letters’. Nevertheless, a significant amount of data can still be extracted from these materials. The total number of entries in the data-sets gathered from 256 letters is 3284 consisting of names of the recipients, posting dates, names of the places from where the letters were sent and where they were received, latitude and longitude for these places, hyper-links to all the letters as well as the recipients’ occupations. In order to analyse the data from various perspectives, the paper uses the web-based DH visualisation platform called ‘Palladio’. Created by Stanford University’s ‘Humanities + Design Lab’, this tool-set was originally created for the project called ‘Mapping the Republic of Letters’ (MRofL) ( which, similarly to this project, focuses on the visualisation of correspondence in order to see how the network of the scholarship world looked like, how extensive it was and how it evolved over time. After uploading the data into Palladio it is possible to examine it through various ‘viewpoints’. In order to see the geographical layer of Yesenin’s correspondence, coordinates of his posting locations as well as those of the recipients are included into the data-set. To track the places from which the poet sent his letters was not problematic due to the fact that each letter includes this information. However, finding out where the letters were sent to was rather challenging. This was due to the fact that out of 256 letters only around 60 of them include the data. In order to determine the location of each recipient as precisely as possible, I analysed the biographies of the recipients, the content of the letters and the secondary material on FEB-web. As a result, all the recipients’ locations and their coordinates are included in the data-set.