Investigating collaboration evolution in ubicomp research

Chao Ma, Zhiwen Yu, Fei Yi, Zhu Wang, Qingyang Li, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

During the past 17 years, UbiComp has grown into one of the most influential conferences. To further figure out how the contributors of UbiComp collaborate with each other, we first construct a collaboration network based on 765 UbiComp papers published since 1999. Afterwards, to examine the patterns of collaborations, a PCA-based time series segmentation scheme is proposed, which suggests 2009 as a break point. By applying comparative analysis, we then investigate the collaboration evolution in different periods and propose a new method to quantify the actual effect of each paper. Experimental results reveal the existence of four types of collaboration patterns and proved that, as UbiComp getting more collaborative, long-Term collaboration is more inclined to facilitate high quality achievements.

源语言英语
主期刊名UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版商Association for Computing Machinery, Inc
161-164
页数4
ISBN(电子版)9781450344623
DOI
出版状态已出版 - 12 9月 2016
活动2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, 德国
期限: 12 9月 201616 9月 2016

出版系列

姓名UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

会议

会议2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
国家/地区德国
Heidelberg
时期12/09/1616/09/16

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