  The paper presents a longitudinal analysis of the evolution of new physics
keywords co-occurrence patterns. For that, we explore the documents indexed in
the INSPIRE database from 1989 to 2018. Our purpose is to quantify the
knowledge structure of the fast-growing subfield of new physics. The
development of a novel approach to keywords co-occurrence analysis is the main
point of the paper. In contrast to traditional co-keyword network analysis, we
investigate structures that unite physics concepts in different documents and
bind different documents with the same physics concepts. We consider the
structures that reveal relationships among concepts as topological and call
them "physics senses". Based on the notion of trajectory mutual information,
the paper offers clustering of physics senses, determines their period of life,
and constructs a classification of senses' "authority".
