DocumentCode
3564963
Title
Scientific Research Collaboration Hypernetwork Modeling and Node Importance Measuring
Author
Quan Xiao
Author_Institution
Sch. of Inf. Technol., Jiangxi Univ. of Finance & Econ., Nanchang, China
fYear
2014
Firstpage
108
Lastpage
113
Abstract
In research collaboration organizations, to evaluate the contributions of researchers and then to identify core researchers is an important issue. Network is a basic model to investigate this question, but with increasingly complex collaborative behavior, it shows limitations for semantic representations. In this paper, by introducing hyper network, a more powerful modeling tool than traditional network to construct scientific research collaboration hyper network (SRCH), we measure the importance of researchers in two aspects as collaborative relationship structure and collaborative achievement value. An additive weighting method with adjustable parameters is utilized to integrate the evaluations into a synthetical one. Data instance verifies that our measuring method for SRCH is reasonable and effective.
Keywords
network theory (graphs); scientific information systems; SRCH; additive weighting method; collaboration organizations; collaborative achievement value; collaborative relationship structure; complex collaborative behavior; node importance measurement; scientific research collaboration hypernetwork modeling; semantic representations; Collaboration; Economics; Educational institutions; Finance; Knowledge engineering; Organizations; Social network services; adjustable parameter; node importance; scientific research collaboration hypernetwork;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of e-Commerce and e-Government (ICMeCG), 2014 International Conference on
Type
conf
DOI
10.1109/ICMeCG.2014.31
Filename
7046900
Link To Document