DocumentCode
2301627
Title
Notice of Retraction
Modeling University Knowledge Network
Author
Feng Shen ; Hongli Liu
Author_Institution
Sch. of Bus., East China Univ. of Sci. & Technol., Shanghai, China
Volume
3
fYear
2010
fDate
6-7 March 2010
Firstpage
132
Lastpage
136
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
University is knowledge-intensive organization and its knowledge network is important for promoting teaching and scientific research. This paper gives a definition of university knowledge network. Three levels of knowledge nodes in the network are identified, the first are individual level knowledge nodes, the second are group level knowledge nodes, and the third are organization level knowledge nodes. The relationships among these nodes are also discussed, which can be divided into two types, the first are relationships among individual level knowledge nodes, the second are relationships between individual level knowledge nodes and group level knowledge nodes. Furthermore, the model of university knowledge network is put forward.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
University is knowledge-intensive organization and its knowledge network is important for promoting teaching and scientific research. This paper gives a definition of university knowledge network. Three levels of knowledge nodes in the network are identified, the first are individual level knowledge nodes, the second are group level knowledge nodes, and the third are organization level knowledge nodes. The relationships among these nodes are also discussed, which can be divided into two types, the first are relationships among individual level knowledge nodes, the second are relationships between individual level knowledge nodes and group level knowledge nodes. Furthermore, the model of university knowledge network is put forward.
Keywords
knowledge management; research libraries; scientific information systems; training; individual level research centers; knowledge network; knowledge-intensive organization; scientific research; teaching; training institutions; Assembly; Business; Computer science; Computer science education; Cultural differences; Educational technology; Electronic mail; Global communication; Knowledge management; Mechanical factors; knowledge network; model; university;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Type
conf
DOI
10.1109/ETCS.2010.355
Filename
5459938
Link To Document