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 outputConference 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 languageEnglish
Title of host publication2015 12th International Conference on Service Systems and Service Management, ICSSSM 2015
PublisherIEEE
ISBN (Electronic)9781479983285
DOIs
Publication statusPublished - 30 Jul 2015
Event12th International Conference on Service Systems and Service Management, ICSSSM 2015 - Guangzhou, China
Duration: 22 Jun 201524 Jun 2015

Conference

Conference12th International Conference on Service Systems and Service Management, ICSSSM 2015
Country/TerritoryChina
CityGuangzhou
Period22/06/1524/06/15

Keywords

  • information entropy
  • knowledge
  • knowledge measurement
  • virtual community

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