A new model to measure the knowledge diffusion via information entropy in virtual communities

Xiangyu Wang; Jun Wang; Ou Liu

doi:10.1109/ICSSSM.2015.7170170

A new model to measure the knowledge diffusion via information entropy in virtual communities

Xiangyu Wang, Jun Wang, Ou Liu

Research output: Chapter in Book/Published conference output › Conference publication

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.

Original language	English
Title of host publication	2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015
Publisher	IEEE
ISBN (Electronic)	9781479983285
DOIs	https://doi.org/10.1109/ICSSSM.2015.7170170
Publication status	Published - 30 Jul 2015
Event	12th International Conference on Service Systems and Service Management, ICSSSM 2015 - Guangzhou, China Duration: 22 Jun 2015 → 24 Jun 2015

Conference

Conference	12th International Conference on Service Systems and Service Management, ICSSSM 2015
Country/Territory	China
City	Guangzhou
Period	22/06/15 → 24/06/15

Keywords

information entropy
knowledge
knowledge measurement
virtual community

Access to Document

10.1109/ICSSSM.2015.7170170

Cite this

@inproceedings{5a2f70ec98784cc4bb3f07549f041367,

title = "A new model to measure the knowledge diffusion via information entropy in virtual communities",

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.",

keywords = "information entropy, knowledge, knowledge measurement, virtual community",

author = "Xiangyu Wang and Jun Wang and Ou Liu",

year = "2015",

month = jul,

day = "30",

doi = "10.1109/ICSSSM.2015.7170170",

language = "English",

booktitle = "2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015",

publisher = "IEEE",

address = "United States",

note = "12th International Conference on Service Systems and Service Management, ICSSSM 2015 ; Conference date: 22-06-2015 Through 24-06-2015",

}

Wang, X, Wang, J & Liu, O 2015, A new model to measure the knowledge diffusion via information entropy in virtual communities. in 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015., 7170170, IEEE, 12th International Conference on Service Systems and Service Management, ICSSSM 2015, Guangzhou, China, 22/06/15. https://doi.org/10.1109/ICSSSM.2015.7170170

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

PY - 2015/7/30

Y1 - 2015/7/30

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

UR - https://ieeexplore.ieee.org/document/7170170

U2 - 10.1109/ICSSSM.2015.7170170

DO - 10.1109/ICSSSM.2015.7170170

M3 - Conference publication

AN - SCOPUS:84948140135

BT - 2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015

PB - IEEE

T2 - 12th International Conference on Service Systems and Service Management, ICSSSM 2015

Y2 - 22 June 2015 through 24 June 2015

ER -

A new model to measure the knowledge diffusion via information entropy in virtual communities

Abstract

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Keywords

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