Title :
Study on Mechanism of Knowledge Growth in Virtual Community
Author :
Bai, Yang ; Deng, Guishi
Author_Institution :
Sch. of Inf. Technol., Eastern Liaoning Univ., Dandong, China
Abstract :
A method of measurement was proposed to promote knowledge transfer and increase knowledge amount in virtual community. First, from two dimensions of learning capacity and knowledge capacity, the knowledge energy sets of individual and community were formally described separately. Then the energy value of knowledge transfer between them was defined. Last, general forms of knowledge flow efficiency were provided according to the theory of ecological energy flow. These metering formulas of knowledge amount and knowledge flow efficiency provided basic quantization for further studying knowledge growth in virtual community.
Keywords :
knowledge engineering; learning (artificial intelligence); social networking (online); knowledge capacity; knowledge flow efficiency; knowledge growth; knowledge transfer; learning capacity; virtual community; Absorption; Communities; Educational institutions; Indexes; Knowledge engineering; Knowledge transfer; Receivers; knowledge flow efficiency; knowledge growth; knowledge transfer; learning capability; virtual community;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
DOI :
10.1109/MINES.2011.73
