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Title:Understanding transdisciplinary scholarly communication in the field of joint attention
Author(s):Xu,Jian; Ding,Ying
Subject(s):Transdisciplinary communication
Joint attention
Topic evolution
Abstract:Communication across disciplines is a well-known challenge for transdisciplinary collaboration. This study provides a quantitative approach to analyze the topic evolution in transdisciplinary domains as well as communication and mutual influence between them. The approach includes three main components: term extraction, ACT model, and topic similarity calculation. Given the result of topic similarity and term distribution probability of topics, the topic visualizer transforms the abstract topic mining results into a comprehensible visualization for further analyses. Taking the field of “joint attention” as example, preliminary analysis results show that the researches about “joint attention” are becoming more popular and maturity gradually in three separated domains; the topic evolution patterns of three domains show distinctive characteristics; the communication barrier between domains does exist apparently, which may hinders the large scale knowledge diffusion across disciplines. The proposed approach provides a foundation for further research to improve the communication across disciplines.
Issue Date:2017
Publisher:iSchools
Citation Info:Xu, J., & Ding, Y. (2017). Understanding Transdisciplinary Scholarly Communication in the Field of Joint Attention. In iConference 2017 Proceedings (pp. 636-640). https://doi.org/10.9776/17308
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96748
DOI:https://doi.org/10.9776/17308
Rights Information:Copyright 2017 Jian Xu and Ying Ding
Date Available in IDEALS:2017-07-27


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