TY - GEN
T1 - A new model to measure the knowledge diffusion via information entropy in virtual communities
AU - Wang, Xiangyu
AU - Wang, Jun
AU - Liu, Ou
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/28
Y1 - 2015/7/28
N2 - 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.
AB - 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.
KW - information entropy
KW - knowledge
KW - knowledge measurement
KW - virtual community
UR - http://www.scopus.com/inward/record.url?scp=84948140135&partnerID=8YFLogxK
U2 - 10.1109/ICSSSM.2015.7170170
DO - 10.1109/ICSSSM.2015.7170170
M3 - Conference Proceeding
AN - SCOPUS:84948140135
T3 - 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015
BT - 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Service Systems and Service Management, ICSSSM 2015
Y2 - 22 June 2015 through 24 June 2015
ER -