Abstract: 【Purpose/significance】In order to discover interdisciplinary academic groups and frontier research topics, more effectively
reveal the core researchers of interdisciplinary researchers, further discover the correlation characteristics between core scholars and
frontier topics, promote the cooperation of national major interdisciplinary research projects, discover potential cooperation prospects,
and effectively organize frontier major interdisciplinary cooperation teams.【Method/process】This paper analyzes the key words, au?
thors, literatures, journals and institutions in the field of geographic information, and adopts the method of double cluster analysis to
implement the bi-directional cluster analysis of authors and topics. On this basis, the paper studies the characteristics of the relation?
ship between high-yield authors and research topics, and reveals the relationship between authors and research topic.【Result/conclu?
sion】The results show that the bidirectional clustering method has outstanding research effect, which not only finds the core academic
groups in the field, but also finds the frontier topics. Further association analysis finds the association characteristics between core
scholars and frontier topics, thus mining the implicit association between interdisciplinary topics and scholars.【Innovation/limitation】
The innovation of this paper is to conduct two-way cluster analysis from the horizontal (researcher) and vertical (research topic) as?
pects, and examine the correlation between the two aspects at the same time.