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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom