NDLI: Visualization-Based Support of Hypothesis Verification for Research Survey with Co-authorship Networks

Content Provider	IEEE Xplore Digital Library
Author	Kurosawa, T. Takama, Y.
Copyright Year	2011
Abstract	This paper examines the effectiveness of a visualization system for getting insight into future research activities from co-authorship networks. A co-authorship network is important information when doing a research survey. In particular, there are many requests on survey that relate with researchers' future activities, such as identification of growing researchers and supervisors. In previous paper we proposed a visualization system for co-authorship networks, which provides the function for identifying research areas and that for identifying temporal variation of both network structure and keyword distribution. This paper examines its effectiveness through field trials by test participants. The results are examined as the process of hypothesis verification, which shows that test participants could perform the task even though they had no background knowledge about InfoVis.
Starting Page	134
Ending Page	137
File Size	514274
Page Count	4
File Format	PDF
ISBN	9781457713736
DOI	10.1109/WI-IAT.2011.121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization exploratory data analysis Collaboration Data visualization Color graph visualization Educational institutions temporal trend information co-authorship networks History System analysis and design interactive information visualization
Content Type	Text
Resource Type	Article

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