Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55379
Title: A new model to measure the knowledge diffusion via information entropy in virtual communities
Authors: Wang, X
Wang, J
Liu, O 
Keywords: Information entropy
Knowledge
Knowledge measurement
Virtual community
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015, 22-24 June 2015, 7170170 How to cite?
Abstract: In order to measure the different values of a great number of knowledge spreading in virtual communities, we build a knowledge diffusion measurement model based on information entropy. The model quantifies the knowledge entropy of different nodes in the spreading process in terms of users' behaviors. Consequently, transmitted knowledge can be sorted by the knowledge entropy, making the measurement of knowledge values and knowledge diffusion more accurately.
URI: http://hdl.handle.net/10397/55379
ISBN: 9781479983285
DOI: 10.1109/ICSSSM.2015.7170170
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

27
Last Week
2
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.