
A network analytic‐based method for facilitating interdisciplinary dialogue at conferences
Author(s) -
Motooka Julie
Publication year - 2014
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.2014.14505101168
Subject(s) - betweenness centrality , centrality , computer science , subject (documents) , degree (music) , order (exchange) , network analysis , complex network , data mining , data science , world wide web , mathematics , engineering , statistics , physics , finance , acoustics , electrical engineering , economics
This paper proposes a network analytic‐based method in order to better facilitate interdisciplinary dialogue at conferences. Using a network composed of papers and subject headings of the 2013 ASIS&T Conference Proceedings, its structure is first analyzed by applying a community detection algorithm and two major centrality measures: betweenness and degree centralities. A combination of degree centrality measurements, along with a qualitative evaluation of the results of those measurements, form a novel method that could potentially connect collections whose content may have been previously “siloed” into separate tracks.