  Bibliometrics have become commonplace and widely used by authors and journals
to monitor, to evaluate and to identify their readership in an
ever-increasingly publishing scientific world. With this contribution, we aim
to investigate the semantic proximities and evolution of the papers published
in the online journal Cybergeo since its creation in 1996. We propose a
dedicated interactive application that compares three strategies for building
semantic networks, using keywords (self-declared themes), citations (areas of
research using the papers published in Cybergeo) and full-texts (themes derived
from the words used in writing). We interpret these networks and semantic
proximities with respect to their temporal evolution as well as to their
spatial expressions, by considering the countries studied in the papers under
inquiry (Cybergeo being a journal of geography, most articles refer to a
well-defined spatial envelope). Finally, we compare the three methods and
conclude that their complementarity can help go beyond simple statistics to
better understand the epistemological evolution of a scientific community and
the readership target of the journal.
