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Using text mining and data visualization to trace the disciplinary boundaries of collective memory studies
Author(s) -
Roeschley Ana
Publication year - 2019
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.159
Subject(s) - collective memory , discipline , scholarship , trace (psycholinguistics) , field (mathematics) , data science , visualization , sociology , computer science , epistemology , social science , political science , linguistics , data mining , philosophy , mathematics , pure mathematics , law
Halbwachs first coined the term “collective memory” in 1941 (Halbwachs, 1992). Since then collective memory has permeated a number of disciplines including history, psychology, political science, and information science. In applying the concept of collective memory to library and information sciences (LIS), it has been most widely used in archival science. The purpose of this study is to examine if collective memory scholarship translates across disciplinary boundaries. To examine the wider field of collective memory literature, this study employs text mining and visualization in an analysis of scholarly articles on the topic. This initial study shows that collective memory literature is overwhelmingly concerned with similar topics across disciplines and has further potential for archival scholars and other information scientists beyond disciplinary silos.